https://github.com/Mixture-of-Rookie/PASSL
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 15
- 평가표
- 20
- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MoaazK/comp511-project
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/MoaazK/unet-transformer
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/ModelBunker/PointNet-TensorFlow
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/ModelBunker/PointRCNN-PyTorch
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/ModelBunker/Stereo-RCNN-PyTorch
Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/MohamedAbd0/darkflow-training
https://github.com/MohamedFarag21/DL-papers-implementation/blob/main/Computer_vision/UNET/Code/Unet_clean_version.py
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/MohamedFarag21/DL-papers-implementation/tree/main/Computer_vision/CBAM:%20Convolutional%20Block%20Attention%20Module/Code
https://github.com/Mohammad-Asad-110/Fashion-Recommendation
https://github.com/MonsterPeng/Deformable-ConvNets-master
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/MonsterPeng/caffe_ssd
https://github.com/MortenTabaka/Semantic-segmentation-of-LandCover.ai-dataset
https://github.com/MoyoG/SHEL5K
https://github.com/MrAI-Rohan/SSDImplementation
https://github.com/MrD1360/Keras-implementation-of-MobileNetv3-with-L-RASSP
https://github.com/MrGiovanni/UNetPlusPlus
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/MrRen-sdhm/Embedded_Multi_Object_Detection_CNN
https://github.com/MrRiahi/Convolutional-Neural-Networks-Tensorflow
https://github.com/Mrnoorsingh/car-parking
https://github.com/Mrqianduoduo/RSDet-8P-4R
https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
https://github.com/Muthu2093/U-Net-for-Brain-Tumor-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Myyyr/transseg2d
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/NANSHANB/StereoR-CNN
Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/NASA-NeMO-Net/NeMO-Net
https://github.com/NBvinay/vinb-ghost-car
https://github.com/NCNU-OpenSource/What-are-you-
https://github.com/NERSC/sc21-dl-tutorial
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/NEUAutonomousDriving408/CIVCAutonomousDriving
https://github.com/NEUdeep/Swin-Transformer-Object-Detection
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/NU-LL/lighttrack-
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/NVIDIA/DeepLearningExamples
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/NVIDIA/MinkowskiEngine
Generative Sparse Detection Networks for 3D Single-shot Object Detection
https://github.com/NVIDIA/retinanet-examples
https://github.com/NVIDIAAICITYCHALLENGE/AICity_Team6_ISU
R-FCN: Object Detection via Region-based Fully Convolutional Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.