Papers with Code 아카이브
Generalized Few-Shot Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/open-mmlab/mmdetection
https://github.com/orparask/VS-Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
https://github.com/panhaulin/concutmix
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
https://github.com/patelmiteshn/darknet
https://github.com/pengrenlai/RetinaNet-tensorflow
https://github.com/petrum01/Capstone_project_object_detection
https://github.com/pierluigiferrari/ssd_keras
https://github.com/ppokhare/Handling-Imbalanced-Dataset-for-classification-task
https://github.com/prabhupad26/100daysofML
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pseulki/rococo
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pwc-1/Paper-8/tree/main/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pwc-1/Paper-8/tree/main/deit
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
https://github.com/pytorch/vision
https://github.com/qingyujean/Classification-on-imbalanced-data
https://github.com/rahowa/catboost_focal_loss
https://github.com/rahulvigneswaran/Class-Balanced-Distillation-for-Long-Tailed-Visual-Recognition.pytorch
Class-Balanced Distillation for Long-Tailed Visual Recognition
https://github.com/rainofmine/Face_Attention_Network
https://github.com/ramanakshay/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/raspstephan/sugar-flower-fish-or-gravel
https://github.com/rebeccagio/object_detection
https://github.com/redcaps-dataset/redcaps-downloader
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/rinnakk/japanese-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/rnirdhar/yoloMultiClass
https://github.com/rnirdhar/yoloTestOneClass
https://github.com/ruinmessi/RFBNet
https://github.com/ryubidragonfire/mydarknet
https://github.com/s-a-malik/multi-few
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/saber2011/darknet
https://github.com/saednasir/Helmet_Yolo
https://github.com/sajjjadayobi/CLIPfa
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/salesforce/pb-ovd
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/samsonadmin/modified-alexeyab-darknet
https://github.com/sanixa/CADA-VAE-pytorch
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
https://github.com/sberbank-ai/ru-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sdu2011/darknet_alexyab
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.