Papers with Code 아카이브
Generalized Few-Shot Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 16
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/azshue/TPT
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/baskargroup/Arboretum
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/baskargroup/biotrove
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/beierzhu/xerm
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
https://github.com/benihime91/pytorch_retinanet
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/codelion/adaptive-classifier
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
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/danielshalam/bpa
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.