Papers with Code 아카이브
Generalized Few-Shot Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mainaksingha01/applenet
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mainaksingha01/odg-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/manishravula/yolov3_tiny_pruned
https://github.com/mathieuorhan/darknet
https://github.com/mdv3101/darknet-yolov3
https://github.com/megvii-research/ml-gcn
Multi-Label Image Recognition with Graph Convolutional Networks
https://github.com/mertyg/post-hoc-cbm
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mic-dkfz/medicaldetectiontoolkit
https://github.com/michi-3000/eyeclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mindspore-ai/models/blob/master/official/cv/retinanet/
https://github.com/mindspore-ai/models/blob/master/research/cv/retinanet_resnet152
https://github.com/minhanh151/pre
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/minhanh151/respro
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/minhdua/PHONES
https://github.com/mkocabas/focal-loss-keras
https://github.com/ml-jku/cloob
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlbio-epfl/turtle
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlfoundations/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/moallafatma/Breast_Cancer_Detection_Classification
https://github.com/moein-shariatnia/OpenAI-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/muzairkhattak/multimodal-prompt-learning
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/nahidalam/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/namdvt/Focal-loss-pytorch-implementation
https://github.com/neshitov/UNet
https://github.com/nguoido/Yolo-alexeyAB
https://github.com/nopperl/clip_arxiv_pmc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/oorrppp2/darknet-pose
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.