Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.
332
414 commits
updated May 31, 2024
README
PaperWeekly
Chip Design and Design Space Exploration and Multi-Objective Optimization
| Paper Name | Published time | Link |
|---|---|---|
| Murphi | 1992 | link |
| SimOS | 1995 | link |
| SimPoint | 2002 | link |
| SimpleScalar | 2002 | link |
| Using-SimPoint | 2003 | link |
| Power-Performance-Modeling | 2003 | link |
| SimPoint-HowTo | 2004 | link |
| QEMU | 2005 | link |
| SimPoint-3.0 | 2005 | link |
| Boundary-Line-Reuse-Latency | 2005 | link |
| Computational-Thinking | 2006 | link |
| Interval-Analysis | 2006 | link |
| SimPoints-SPEC-CPU-2006 | 2008 | link |
| DSE-ACO | 2006 | link |
| GPGPU-Sim | 2009 | link |
| GARNET | 2009 | link |
| gem5 | 2011 | link |
| hyperopt | 2013 | link |
| DSE-MDE | 2014 | link |
| Top-down-Microarchitecture-Analysis | 2014 | link |
| BayesOptLoop | 2016 | link |
| SLAM-DSE | 2017 | link |
| PlatEMO | 2017 | 1701.00879 |
| Exploring-Exploration | 2017 | link |
| Rocket-Chip-Generator | 2016 | link |
| RISC5 | 2017 | link |
| BOOM | 2015 | link |
| BOOMv2 | 2017 | link |
| Google-Vizier | 2017 | link |
| HyperMapper-2.0 | 2018 | 1801.05236 |
| Random-Scalarization | 2018 | 1805.12168 |
| HFP8 | 2019 | NIPS2019 |
| MOEA-tutorial | 2018 | link |
| ML-DSE-Manycore | 2019 | link |
| MMBO | 2019 | 1905.02370 |
| BRISC-V | 2019 | link |
| SonicBOOM | 2020 | link |
| BOOM-Explorer | 2021 | link |
| New-Golden-Age | 2019 | link |
| jMetalPy | 2019 | 1903.02915 |
| Computers-as-GPT-Decline | 2018 | link |
| pymoo | 2020 | link |
| BO-DoE-Review | 2020 | link |
| MOBOpt | 2020 | link |
| MAESTRO | 2020 | link |
| BOPrO | 2020 | 2006.14608 |
| Apollo | 2021 | 2102.01723 |
| ML-EDA-Survey | 2021 | 2102.03357 |
| OpenBox | 2021 | 2106.00421 |
| DSE-Accelerators | 2021 | link |
| NeuroMeter | 2021 | link |
| NAAS | 2021 | MIT |
| ELFie | 2021 | link |
| Gem5-FS-RISCV | 2021 | link |
| Alibaba-ICCAD2022-contest | 2022 | ICCAD |
GPU Latency Hiding
| Paper Name | Published time | Link |
|---|---|---|
| GPU-Latency-Hiding-Ch2 | 2016 | link |
| GPU-Latency-Hiding-Ch3 | 2016 | link |
| GPU-Latency-Hiding-Ch4 | 2016 | link |
Nerual Rendering
| Paper Name | Published time | Link |
|---|---|---|
| NeRF | 2020 | 2003.08934 |
SLAM
| Paper Name | Published time | Link |
|---|---|---|
| Zhang-Calibration | 2000 | link |
| Fish-Eye-Calibration | 2006 | link |
| cartographer | 2016 | link |
| ORB-SLAM | 2015 | 1502.00956 |
| ORB-SLAM2 | 2016 | 1610.06475 |
| ORB-SLAM3 | 2020 | 2007.11898 |
| VINS-Review | 2019 | 1906.02650 |
Classical Image Features, Image Processing and Pattern Recognition
| Paper Name | Published time | Link |
|---|---|---|
| Marr-1980 | 1980 | link |
| Laws-Filters | 1980 | link |
| findContours | 1985 | link |
| cornerHarris | 1988 | link |
| GoodFeaturesToTrack | 1993 | IEEE |
| SIFT-1999 | 1999 | iccv99 |
| Haar | 2001 | paper |
| LBP | 2002 | link |
| HOG | 2005 | paper |
| SURF | 2006 | paper |
| FAST | 2006 | paper |
| DPM | 2008 | paper |
| BRIEF | 2010 | paper |
| ORB | 2011 | paper |
| KAZE | 2012 | paper |
| VGG-Texture-Classification | 2005 | VGG |
| Deep Filter Banks | 2015 | CVPR |
| Live-Wire-1992 | 1992 | link |
| Normalized-Cuts | 1997 | stanford |
| Bilateral-Filter | 1998 | link |
| Mattes-Mutual-Information | 2001 | harvard |
| Elastic Distortion | 2003 | cmu |
| IFT | 2004 | PAMI |
| Non-Local-Means | 2005 | paper |
| t-SNE visualization | 2008 | link |
| Histogram-Modification-Framework | 2009 | IEEE |
| gPb | 2010 | Berkeley |
| linemod | 2012 | link |
| Objectness | 2012 | PAMI |
| NumPy-Nature | 2020 | Nature |
Attention, Transformer, Federated Learning, Self-Supervised Learning, One Class Classification
| Paper Name | Published time | Link |
|---|---|---|
| Attention | 2017 | 1706.03762 |
| DETR | 2020 | 2005.12872 |
| ViT | 2020 | 2010.11929 |
| Vision-Transformers-Survey | 2021 | 2101.01169 |
| Rethinking-Generalization | 2016 | 1611.03530 |
| Data-HFC-CNN | 2019 | 1905.13545 |
| Contrastive-Loss-Function | 2006 | LeCun |
| Nature-Deep-Learning | 2015 | Nature |
| Federated-Averaging | 2016 | 1602.05629 |
| Deep-Learning-Computer-Architecture-Chip-Design | 2019 | 1911.05289 |
| DL-Critical-Appraisal | 2018 | 1801.00631 |
| DL-vs-Traditional-CV | 2019 | 1910.13796 |
| Federated-Machine-Learning | 2019 | 1902.04885 |
| Federated-Learning-At-Scale | 2019 | 1902.01046 |
| ML-Stuck-in-a-Rut | 2019 | HotOS-2019 |
| Self-supervised-representation-learning-revisited | 2019 | 1901.09005 |
| Momentum-Contrast | 2019 | 1911.05722 |
| SimCLR | 2020 | 2002.05079 |
| Deep OCC | 2018 | 1801.05365v2 |
| OC-CNN | 2019 | 1901.08688v1 |
| Nature-DL-for-AI | 2021 | paper |
Classification models and algorithms
| Model name | Published time | Link |
|---|---|---|
| AlexNet | 2012 | nips link |
| Visualization | 2013 | 1311.2901 |
| Inception V1 i.e. GoogLeNet | 2014 | 1409.4842v1 |
| Inception V2 | 2015 | 1502.03167v3 |
| Inception V3 | 2015 | 1512.00567v3 |
| Inception V4 | 2016 | 1602.07261v2 |
| Xception | 2016 | 1610.02357v3 |
| VGG | 2014 | 1409.1556 |
| Spatial-Transformer-Networks | 2015 | 1506.02025 |
| ResNet V1 | 2015 | 1512.03385 |
| ResNet V2 | 2016 | 1603.05027 |
| ResNeXt | 2016 | 1611.05431 |
| DenseNet | 2016 | 1608.06993 |
| ShuffleNetV1 | 2017 | 1707.01083 |
| ShuffleNetV2 | 2018 | 1807.11164 |
| MobileNet | 2017 | 1704.04861 |
| MobileNetV2 | 2018 | 1801.04381v3 |
| SENet | 2017 | 1709.01507 |
| MnasNet | 2018 | 1807.11626 |
| OctConv | 2019 | 1904.0509 |
| MobileNetV3 | 2019 | 1905.02244 |
| EfficientNet | 2019 | 1905.11946 |
| ResNeSt | 2020 | 2004.08955 |
| Non-local NN | 2017 | 1711.07971 |
| ResNet-RS | 2021 | 2103.07579 |
| RandAugment | 2019 | 1909.13719 |
| Deformable-CNN-v1 | 2017 | 1703.06211 |
| Deformable-CNN-v2 | 2018 | 1811.11168 |
Object Detetion models and algorithms
| Model name | Published time | Link |
|---|---|---|
| SelectiveSearch | 2012 | personal link |
| R-CNN | 2014 | 1311.2524v5 |
| Fast R-CNN | 2015 | 1504.08083v2 |
| Faster R-CNN | 2016 | 1506.01497 |
| Mask R-CNN | 2018 | 1703.06870v3 |
| SSD | 2016 | 1512.02325v5 |
| Speed/accuracy trade-offs | 2016 | 1611.10012v3 |
| YOLOv1 | 2015 | 1506.02640 |
| YOLO9000 | 2016 | 1612.08242 |
| YOLOv3 | 2018 | 1804.02767 |
| YOLOv4 | 2020 | 2004.10934 |
| R-FCN | 2016 | 1605.06409 |
| Focal Loss | 2017 | 1708.02002 |
| Feature Pyramid Network | 2017 | 1612.03144 |
| CornerNet | 2018 | 1808.01244 |
| CenterNet | 2019 | 1904.07850 |
| NAS-FPN | 2019 | 1904.07392 |
| EfficientDet | 2019 | 1911.09070 |
Semantic Segmentation
| Model name | Published time | Link |
|---|---|---|
| FCN | 2015 | 1411.4038 |
| DeepLabV1 | 2015 | 1412.7062 |
| DeepLabV2 | 2016 | 1606.00915 |
| DeepLabV3 | 2017 | 1706.05587 |
| DeepLabV3+ | 2018 | 1802.02611 |
| Dense-Prediction-Architecture-Search | 2018 | 1809.04184 |
| Auto-DeepLab | 2019 | 1901.02985 |
| Boundary-Loss | 2018 | 1812.07032 |
| U-Net-Medical | 2015 | 1505.04597 |
| V-Net | 2016 | 1606.04797 |
| Clinically-Applicable-DL-OAR-Delineation | 2019 | Nature |
| nnU-Net | 2019 | 1904.08128 |
| Fast-SCNN | 2019 | 1902.04502 |
GAN
| Model name | Published time | Link |
|---|---|---|
| GAN | 2014 | 1406.2661 |
| cGAN | 2014 | 1411.1784 |
| DCGAN | 2015 | 1511.06434 |
| Improved-Techniques-for-Training-GANs | 2016 | 1606.03498 |
| pix2pix | 2016 | 1611.07004 |
| CycleGAN | 2017 | 1703.10593 |
Keypoint detection
| Paper | Published time | Link |
|---|---|---|
| Convolutional Pose Machines | 2016 | 1602.00134 |
| Part Affinity Fields | 2016 | 1611.08050 |
| Hand keypoint detection | 2017 | 1704.07809 |
| OpenPose | 2018 | 1812.08008 |
Face Detection & Alignment & Recognition
| Paper | Published time | Link |
|---|---|---|
| FaceNet | 2015 | 1503.03832 |
| MTCNN | 2016 | 1604.02878v1 |
| SSH | 2017 | 1708.03979 |
| ArcFace | 2018 | 1801.07698 |
| MobileFaceNet | 2018 | 1804.07573 |
| RetinaFace | 2019 | 1905.00641 |
Inference Framework and Pruning, Quantization, Compression, AutoML, TPU
| Name | Published time | Link |
|---|---|---|
| CNN-FFT | 2014 | 1312.5851v5 |
| FFT-DL-Deploy | 2017 | 1712.04910 |
| Caffe | 2014 | 1408.5093 |
| Knowledge-Distilling | 2015 | 1503.02531 |
| Learning-weights-and-connections | 2015 | 1506.02626 |
| Deep-Compression | 2015 | 1510.00149 |
| Pruning-Filters | 2016 | 1608.08710 |
| TVM | 2018 | 1802.04799 |
| Integer-Arithmetic-Inference | 2018 | 1712.05877 |
| Quantization | 2018 | 1806.08342 |
| Auto-Keras | 2018 | 1806.10282 |
| TPU | 2017 | 1704.04760 |
Image Registration & Optical Flow
| Name | Published time | Link |
|---|---|---|
| FlowNet | 2015 | 1504.06852 |
| FlowNetV2 | 2016 | 1612.01925 |
| Geometric-Mapping-CNN | 2017 | 1703.05593 |
| CNN-3D-2D-Registration | 2016 | 1507.07505 |
| MV-3D-2D-CNN-Registration | 2018 | 1811.11816 |
| VoxelMorph | 2018 | 1809.05231 |
| X-ray-CT-Registration | 2019 | MICCAI2019 |
| Weakly-Supervised-CNN-Multimodal-Registration | 2018 | 1807.03361 |
| POINT2 | 2019 | 1903.03896 |
Medical Imaging and Medical Image Processing
| Name | Published time | Link |
|---|---|---|
| DRR-Siddon-1985 | 1985 | aapm |
| DRR-Jacob-1998 | 1998 | semanticscholar |
| DRR-GPU-deGreef-2009 | 2009 | aapm |
| MRI-sCT-Generation-Review | 2017 | Radioation Oncology |
| Survey-DL-Medical | 2017 | 1702.05747 |
| CycleGAN-UNIT-comparison | 2018 | 1806.07777v1 |
| DL-Registration-Survey | 2019 | 1903.02026 |
| Models Genesis | 2019 | 1908.06912 |
| Radiomics-ML-DL | 2020 | aapm |
| Intrafractional-motion-management | 2020 | pubmed |
| UltraSound-Toolbox | 2017 | IEEE |
| ALTIS | 2019 | pubmed |
| CBCT-Scatter-Compensation | 2011 | aapm |
| CBCT-Scatter-Estimation | 2011 | aapm |
| CT-Survey | 2013 | springer |
| CT-Reconstruction-Evolution | 2019 | springer |
| CT-RED-CNN | 2017 | IEEE |
OCR & Action Recognition & Spatial-temporal CNN & Image Super-Resolution & Crowd counting
| Model | Published time | Link |
|---|---|---|
| I3D | 2017 | 1705.07750 |
| FCN-rLSTM | 2017 | 1707.09476 |
| Bi-ConvLSTM | 2017 | 1707.07890 |
| EDSR | 2017 | 1707.02921v1 |
| Deep image prior | 2018 | github.io |
| MCNN | 2016 | CVPR2016 |
| MSCNN | 2017 | 1702.02359 |
| OCR review | 2018 | 1811.04256 |
Datasets
| Datasets name | Published time | Link |
|---|---|---|
| MS COCO | 2014 | 1405.0312 |
| MPII | 2014 | CVPR'14 |
| CrowdHuman | 2018 | 1805.00123 |
| fddb | 2010 | fddb |
| WIDER-FACE | 2015 | 1511.06523 |
| MS-Celeb-1M | 2016 | 1607.08221 |
| Panoptic Studio | 2016 | 1612.03153 |
| CV-HAZOP | 2017 | IJCV2017 |
| DeepLesion | 2018 | SPIE |
| RIL-Contour | 2019 | Mayo |
| MVTec-AD | 2019 | paper |
| Data-Cascades | 2021 |
3D Point Cloud & Other
| Paper | time | link |
|---|---|---|
| PCL-Library | 2011 | PCL |
| Open3D | 2018 | 1801.09847 |
| HED | 2015 | 1504.06375 |
| FireNet | 2018 | personal link |
| Contour-to-DICOM-RT-Structure-Set | 2009 | link |
| stochasticity | 2000 | link |
Books & links
convolutional-neural-networks
face-recognition
keypoint-detection
medical-image-processing
object-detection
semantic-segmentation
slam
transformers
Similar repos
Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.
332
414 commits
updated May 31, 2024
README
PaperWeekly
Chip Design and Design Space Exploration and Multi-Objective Optimization
| Paper Name | Published time | Link |
|---|---|---|
| Murphi | 1992 | link |
| SimOS | 1995 | link |
| SimPoint | 2002 | link |
| SimpleScalar | 2002 | link |
| Using-SimPoint | 2003 | link |
| Power-Performance-Modeling | 2003 | link |
| SimPoint-HowTo | 2004 | link |
| QEMU | 2005 | link |
| SimPoint-3.0 | 2005 | link |
| Boundary-Line-Reuse-Latency | 2005 | link |
| Computational-Thinking | 2006 | link |
| Interval-Analysis | 2006 | link |
| SimPoints-SPEC-CPU-2006 | 2008 | link |
| DSE-ACO | 2006 | link |
| GPGPU-Sim | 2009 | link |
| GARNET | 2009 | link |
| gem5 | 2011 | link |
| hyperopt | 2013 | link |
| DSE-MDE | 2014 | link |
| Top-down-Microarchitecture-Analysis | 2014 | link |
| BayesOptLoop | 2016 | link |
| SLAM-DSE | 2017 | link |
| PlatEMO | 2017 | 1701.00879 |
| Exploring-Exploration | 2017 | link |
| Rocket-Chip-Generator | 2016 | link |
| RISC5 | 2017 | link |
| BOOM | 2015 | link |
| BOOMv2 | 2017 | link |
| Google-Vizier | 2017 | link |
| HyperMapper-2.0 | 2018 | 1801.05236 |
| Random-Scalarization | 2018 | 1805.12168 |
| HFP8 | 2019 | NIPS2019 |
| MOEA-tutorial | 2018 | link |
| ML-DSE-Manycore | 2019 | link |
| MMBO | 2019 | 1905.02370 |
| BRISC-V | 2019 | link |
| SonicBOOM | 2020 | link |
| BOOM-Explorer | 2021 | link |
| New-Golden-Age | 2019 | link |
| jMetalPy | 2019 | 1903.02915 |
| Computers-as-GPT-Decline | 2018 | link |
| pymoo | 2020 | link |
| BO-DoE-Review | 2020 | link |
| MOBOpt | 2020 | link |
| MAESTRO | 2020 | link |
| BOPrO | 2020 | 2006.14608 |
| Apollo | 2021 | 2102.01723 |
| ML-EDA-Survey | 2021 | 2102.03357 |
| OpenBox | 2021 | 2106.00421 |
| DSE-Accelerators | 2021 | link |
| NeuroMeter | 2021 | link |
| NAAS | 2021 | MIT |
| ELFie | 2021 | link |
| Gem5-FS-RISCV | 2021 | link |
| Alibaba-ICCAD2022-contest | 2022 | ICCAD |
GPU Latency Hiding
| Paper Name | Published time | Link |
|---|---|---|
| GPU-Latency-Hiding-Ch2 | 2016 | link |
| GPU-Latency-Hiding-Ch3 | 2016 | link |
| GPU-Latency-Hiding-Ch4 | 2016 | link |
Nerual Rendering
| Paper Name | Published time | Link |
|---|---|---|
| NeRF | 2020 | 2003.08934 |
SLAM
| Paper Name | Published time | Link |
|---|---|---|
| Zhang-Calibration | 2000 | link |
| Fish-Eye-Calibration | 2006 | link |
| cartographer | 2016 | link |
| ORB-SLAM | 2015 | 1502.00956 |
| ORB-SLAM2 | 2016 | 1610.06475 |
| ORB-SLAM3 | 2020 | 2007.11898 |
| VINS-Review | 2019 | 1906.02650 |
Classical Image Features, Image Processing and Pattern Recognition
| Paper Name | Published time | Link |
|---|---|---|
| Marr-1980 | 1980 | link |
| Laws-Filters | 1980 | link |
| findContours | 1985 | link |
| cornerHarris | 1988 | link |
| GoodFeaturesToTrack | 1993 | IEEE |
| SIFT-1999 | 1999 | iccv99 |
| Haar | 2001 | paper |
| LBP | 2002 | link |
| HOG | 2005 | paper |
| SURF | 2006 | paper |
| FAST | 2006 | paper |
| DPM | 2008 | paper |
| BRIEF | 2010 | paper |
| ORB | 2011 | paper |
| KAZE | 2012 | paper |
| VGG-Texture-Classification | 2005 | VGG |
| Deep Filter Banks | 2015 | CVPR |
| Live-Wire-1992 | 1992 | link |
| Normalized-Cuts | 1997 | stanford |
| Bilateral-Filter | 1998 | link |
| Mattes-Mutual-Information | 2001 | harvard |
| Elastic Distortion | 2003 | cmu |
| IFT | 2004 | PAMI |
| Non-Local-Means | 2005 | paper |
| t-SNE visualization | 2008 | link |
| Histogram-Modification-Framework | 2009 | IEEE |
| gPb | 2010 | Berkeley |
| linemod | 2012 | link |
| Objectness | 2012 | PAMI |
| NumPy-Nature | 2020 | Nature |
Attention, Transformer, Federated Learning, Self-Supervised Learning, One Class Classification
| Paper Name | Published time | Link |
|---|---|---|
| Attention | 2017 | 1706.03762 |
| DETR | 2020 | 2005.12872 |
| ViT | 2020 | 2010.11929 |
| Vision-Transformers-Survey | 2021 | 2101.01169 |
| Rethinking-Generalization | 2016 | 1611.03530 |
| Data-HFC-CNN | 2019 | 1905.13545 |
| Contrastive-Loss-Function | 2006 | LeCun |
| Nature-Deep-Learning | 2015 | Nature |
| Federated-Averaging | 2016 | 1602.05629 |
| Deep-Learning-Computer-Architecture-Chip-Design | 2019 | 1911.05289 |
| DL-Critical-Appraisal | 2018 | 1801.00631 |
| DL-vs-Traditional-CV | 2019 | 1910.13796 |
| Federated-Machine-Learning | 2019 | 1902.04885 |
| Federated-Learning-At-Scale | 2019 | 1902.01046 |
| ML-Stuck-in-a-Rut | 2019 | HotOS-2019 |
| Self-supervised-representation-learning-revisited | 2019 | 1901.09005 |
| Momentum-Contrast | 2019 | 1911.05722 |
| SimCLR | 2020 | 2002.05079 |
| Deep OCC | 2018 | 1801.05365v2 |
| OC-CNN | 2019 | 1901.08688v1 |
| Nature-DL-for-AI | 2021 | paper |
Classification models and algorithms
| Model name | Published time | Link |
|---|---|---|
| AlexNet | 2012 | nips link |
| Visualization | 2013 | 1311.2901 |
| Inception V1 i.e. GoogLeNet | 2014 | 1409.4842v1 |
| Inception V2 | 2015 | 1502.03167v3 |
| Inception V3 | 2015 | 1512.00567v3 |
| Inception V4 | 2016 | 1602.07261v2 |
| Xception | 2016 | 1610.02357v3 |
| VGG | 2014 | 1409.1556 |
| Spatial-Transformer-Networks | 2015 | 1506.02025 |
| ResNet V1 | 2015 | 1512.03385 |
| ResNet V2 | 2016 | 1603.05027 |
| ResNeXt | 2016 | 1611.05431 |
| DenseNet | 2016 | 1608.06993 |
| ShuffleNetV1 | 2017 | 1707.01083 |
| ShuffleNetV2 | 2018 | 1807.11164 |
| MobileNet | 2017 | 1704.04861 |
| MobileNetV2 | 2018 | 1801.04381v3 |
| SENet | 2017 | 1709.01507 |
| MnasNet | 2018 | 1807.11626 |
| OctConv | 2019 | 1904.0509 |
| MobileNetV3 | 2019 | 1905.02244 |
| EfficientNet | 2019 | 1905.11946 |
| ResNeSt | 2020 | 2004.08955 |
| Non-local NN | 2017 | 1711.07971 |
| ResNet-RS | 2021 | 2103.07579 |
| RandAugment | 2019 | 1909.13719 |
| Deformable-CNN-v1 | 2017 | 1703.06211 |
| Deformable-CNN-v2 | 2018 | 1811.11168 |
Object Detetion models and algorithms
| Model name | Published time | Link |
|---|---|---|
| SelectiveSearch | 2012 | personal link |
| R-CNN | 2014 | 1311.2524v5 |
| Fast R-CNN | 2015 | 1504.08083v2 |
| Faster R-CNN | 2016 | 1506.01497 |
| Mask R-CNN | 2018 | 1703.06870v3 |
| SSD | 2016 | 1512.02325v5 |
| Speed/accuracy trade-offs | 2016 | 1611.10012v3 |
| YOLOv1 | 2015 | 1506.02640 |
| YOLO9000 | 2016 | 1612.08242 |
| YOLOv3 | 2018 | 1804.02767 |
| YOLOv4 | 2020 | 2004.10934 |
| R-FCN | 2016 | 1605.06409 |
| Focal Loss | 2017 | 1708.02002 |
| Feature Pyramid Network | 2017 | 1612.03144 |
| CornerNet | 2018 | 1808.01244 |
| CenterNet | 2019 | 1904.07850 |
| NAS-FPN | 2019 | 1904.07392 |
| EfficientDet | 2019 | 1911.09070 |
Semantic Segmentation
| Model name | Published time | Link |
|---|---|---|
| FCN | 2015 | 1411.4038 |
| DeepLabV1 | 2015 | 1412.7062 |
| DeepLabV2 | 2016 | 1606.00915 |
| DeepLabV3 | 2017 | 1706.05587 |
| DeepLabV3+ | 2018 | 1802.02611 |
| Dense-Prediction-Architecture-Search | 2018 | 1809.04184 |
| Auto-DeepLab | 2019 | 1901.02985 |
| Boundary-Loss | 2018 | 1812.07032 |
| U-Net-Medical | 2015 | 1505.04597 |
| V-Net | 2016 | 1606.04797 |
| Clinically-Applicable-DL-OAR-Delineation | 2019 | Nature |
| nnU-Net | 2019 | 1904.08128 |
| Fast-SCNN | 2019 | 1902.04502 |
GAN
| Model name | Published time | Link |
|---|---|---|
| GAN | 2014 | 1406.2661 |
| cGAN | 2014 | 1411.1784 |
| DCGAN | 2015 | 1511.06434 |
| Improved-Techniques-for-Training-GANs | 2016 | 1606.03498 |
| pix2pix | 2016 | 1611.07004 |
| CycleGAN | 2017 | 1703.10593 |
Keypoint detection
| Paper | Published time | Link |
|---|---|---|
| Convolutional Pose Machines | 2016 | 1602.00134 |
| Part Affinity Fields | 2016 | 1611.08050 |
| Hand keypoint detection | 2017 | 1704.07809 |
| OpenPose | 2018 | 1812.08008 |
Face Detection & Alignment & Recognition
| Paper | Published time | Link |
|---|---|---|
| FaceNet | 2015 | 1503.03832 |
| MTCNN | 2016 | 1604.02878v1 |
| SSH | 2017 | 1708.03979 |
| ArcFace | 2018 | 1801.07698 |
| MobileFaceNet | 2018 | 1804.07573 |
| RetinaFace | 2019 | 1905.00641 |
Inference Framework and Pruning, Quantization, Compression, AutoML, TPU
| Name | Published time | Link |
|---|---|---|
| CNN-FFT | 2014 | 1312.5851v5 |
| FFT-DL-Deploy | 2017 | 1712.04910 |
| Caffe | 2014 | 1408.5093 |
| Knowledge-Distilling | 2015 | 1503.02531 |
| Learning-weights-and-connections | 2015 | 1506.02626 |
| Deep-Compression | 2015 | 1510.00149 |
| Pruning-Filters | 2016 | 1608.08710 |
| TVM | 2018 | 1802.04799 |
| Integer-Arithmetic-Inference | 2018 | 1712.05877 |
| Quantization | 2018 | 1806.08342 |
| Auto-Keras | 2018 | 1806.10282 |
| TPU | 2017 | 1704.04760 |
Image Registration & Optical Flow
| Name | Published time | Link |
|---|---|---|
| FlowNet | 2015 | 1504.06852 |
| FlowNetV2 | 2016 | 1612.01925 |
| Geometric-Mapping-CNN | 2017 | 1703.05593 |
| CNN-3D-2D-Registration | 2016 | 1507.07505 |
| MV-3D-2D-CNN-Registration | 2018 | 1811.11816 |
| VoxelMorph | 2018 | 1809.05231 |
| X-ray-CT-Registration | 2019 | MICCAI2019 |
| Weakly-Supervised-CNN-Multimodal-Registration | 2018 | 1807.03361 |
| POINT2 | 2019 | 1903.03896 |
Medical Imaging and Medical Image Processing
| Name | Published time | Link |
|---|---|---|
| DRR-Siddon-1985 | 1985 | aapm |
| DRR-Jacob-1998 | 1998 | semanticscholar |
| DRR-GPU-deGreef-2009 | 2009 | aapm |
| MRI-sCT-Generation-Review | 2017 | Radioation Oncology |
| Survey-DL-Medical | 2017 | 1702.05747 |
| CycleGAN-UNIT-comparison | 2018 | 1806.07777v1 |
| DL-Registration-Survey | 2019 | 1903.02026 |
| Models Genesis | 2019 | 1908.06912 |
| Radiomics-ML-DL | 2020 | aapm |
| Intrafractional-motion-management | 2020 | pubmed |
| UltraSound-Toolbox | 2017 | IEEE |
| ALTIS | 2019 | pubmed |
| CBCT-Scatter-Compensation | 2011 | aapm |
| CBCT-Scatter-Estimation | 2011 | aapm |
| CT-Survey | 2013 | springer |
| CT-Reconstruction-Evolution | 2019 | springer |
| CT-RED-CNN | 2017 | IEEE |
OCR & Action Recognition & Spatial-temporal CNN & Image Super-Resolution & Crowd counting
| Model | Published time | Link |
|---|---|---|
| I3D | 2017 | 1705.07750 |
| FCN-rLSTM | 2017 | 1707.09476 |
| Bi-ConvLSTM | 2017 | 1707.07890 |
| EDSR | 2017 | 1707.02921v1 |
| Deep image prior | 2018 | github.io |
| MCNN | 2016 | CVPR2016 |
| MSCNN | 2017 | 1702.02359 |
| OCR review | 2018 | 1811.04256 |
Datasets
| Datasets name | Published time | Link |
|---|---|---|
| MS COCO | 2014 | 1405.0312 |
| MPII | 2014 | CVPR'14 |
| CrowdHuman | 2018 | 1805.00123 |
| fddb | 2010 | fddb |
| WIDER-FACE | 2015 | 1511.06523 |
| MS-Celeb-1M | 2016 | 1607.08221 |
| Panoptic Studio | 2016 | 1612.03153 |
| CV-HAZOP | 2017 | IJCV2017 |
| DeepLesion | 2018 | SPIE |
| RIL-Contour | 2019 | Mayo |
| MVTec-AD | 2019 | paper |
| Data-Cascades | 2021 |
3D Point Cloud & Other
| Paper | time | link |
|---|---|---|
| PCL-Library | 2011 | PCL |
| Open3D | 2018 | 1801.09847 |
| HED | 2015 | 1504.06375 |
| FireNet | 2018 | personal link |
| Contour-to-DICOM-RT-Structure-Set | 2009 | link |
| stochasticity | 2000 | link |
Books & links
convolutional-neural-networks
face-recognition
keypoint-detection
medical-image-processing
object-detection
semantic-segmentation
slam
transformers