Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Singh-sid930/YOLO_pytorch
https://github.com/SkalskiP/make-sense
https://github.com/SmallMunich/nutonomy_pointpillars
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/Smiler-Jin/Yolov4
https://github.com/Smiler-Jin/frustum_pointnet
https://github.com/SnailDev/github-hot-hub
https://github.com/Sobeit-Tim/NuguEyeTest
https://github.com/Song-Jingyu/PointPainting
https://github.com/SonginCV/GMPHD_MAF
https://github.com/SonginCV/GMPHD_SAF
https://github.com/SonginCV/MAF_HDA
https://github.com/Sooram/cnn
https://github.com/Sooram/stn
https://github.com/SpaceNetChallenge/utilities
https://github.com/Spain2394/darknet
https://github.com/SpanoChristian/darknet
https://github.com/SravanChittupalli/COVID-19-Mask_detector
https://github.com/Sreyan88/GAMA
https://github.com/Ssong24/CenterNet_Custom
https://github.com/StamatisKourkoutas/Brain_Tumor_Segmentation_US_Images
F3Net: Fusion, Feedback and Focus for Salient Object Detection
https://github.com/StanfordVL/MinkowskiEngine
Generative Sparse Detection Networks for 3D Single-shot Object Detection
https://github.com/Stepan-coder/HandWritenSignatureDetection
https://github.com/StephenEkaputra/Mask_RCNN-TinyPascalVOC
https://github.com/Stephenfang51/Focal_loss_turtorial
https://github.com/StevenBanama/Yolo-lite-Gesture
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers
https://github.com/Stick-To/CenterNet-tensorflow
https://github.com/StuvX/BayesCapsNet
https://github.com/Suaro/pidroid
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/Suci2609/generate_train_list.py-
https://github.com/Sujith2k/darknet
https://github.com/Sushma07/dancedarknet
https://github.com/SusungHong/IF-DreamFusion
RealFusion: 360° Reconstruction of Any Object from a Single Image
https://github.com/SweetyTian/efficientdet
https://github.com/SysCV/qd-3dt
https://github.com/SysCV/tet
Quasi-Dense Similarity Learning for Multiple Object Tracking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.