Papers with Code 아카이브
Long-tail Learning
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Long-tailed learning, one of the most challenging problems in visual recognition, aims to train well-performing models from a large number of images that follow a long-tailed class distribution.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bespontaneous/proteus-pytorch
Learning Transferable Visual Models From Natural Language Supervision
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/borisdayma/clip-jax
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/brown-palm/ObjectPrompt
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/bruthyu/bpt-vlm
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/buptdbj/darknet-windows-linux
https://github.com/buyeah1109/KEN
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/buyeah1109/finc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/caihaocong/Yolov3_AlexeyAB_Version
https://github.com/cameronchoi/r3det-copy
https://github.com/clip-italian/clip-italian
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/cloudnine148/PHC_2nd_SPC
https://github.com/craston/object_detection_cib
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
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/dhansmair/flamingo-mini
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/dishen12/py03
https://github.com/dtthi/darknetAlexeyAB
https://github.com/dvlab-research/MiSLAS
https://github.com/dvlab-research/imbalanced-learning
https://github.com/dwaithe/darknet3AB
https://github.com/e0015274/darknet
https://github.com/edgarrt/custom_darknet
https://github.com/edgarschnfld/CADA-VAE-PyTorch
https://github.com/edwardclem/deepscribe
https://github.com/eify/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/emasa/adello-ltssl
Balanced Product of Calibrated Experts for Long-Tailed Recognition
https://github.com/eps696/aphantasia
Learning Transferable Visual Models From Natural Language Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.