Papers with Code 아카이브
Dense Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 5
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/agutuyen-dev/darknet
https://github.com/ahhan02/darknet-alex
https://github.com/aminekha/AI-For-2022
https://github.com/amittiwary42/target-detection-eeg-signals
https://github.com/annabellachen/newDarknet
https://github.com/anookeen/yolo
https://github.com/artemmavrin/focal-loss
https://github.com/artxtech/darknet-rnn
https://github.com/artynet/darknet-alexeyAB
https://github.com/ayushpalak/darknet_cokebottles
https://github.com/ayushpalak/darknet_multi_cokebottles
https://github.com/benihime91/pytorch_retinanet
https://github.com/bharatsush/object_detection
https://github.com/binhdv92/darknet
https://github.com/binhdv92/darknet_kriyeng
https://github.com/bobby20180331/darknet_pycharm
https://github.com/buptdbj/darknet-windows-linux
https://github.com/caihaocong/Yolov3_AlexeyAB_Version
https://github.com/cameronchoi/r3det-copy
https://github.com/cloudnine148/PHC_2nd_SPC
https://github.com/csm-kr/Retinanet_pytorch
https://github.com/darshans0200/YOLOTest
https://github.com/daveboat/pytorch_focal_loss
https://github.com/dc17540/darknet
https://github.com/delmalih/MIAS-mammography-obj-detection
https://github.com/detectionteamucas/retinanet_tensorflow
https://github.com/dishen12/py03
https://github.com/dtthi/darknetAlexeyAB
https://github.com/dwaithe/darknet3AB
https://github.com/e0015274/darknet
https://github.com/edgarrt/custom_darknet
https://github.com/edwardclem/deepscribe
https://github.com/eric-erki/darknet
https://github.com/eric-erki/yolov3
https://github.com/ermuur/darknet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.