https://github.com/dreamercv/HSResNet-MMAL
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
Papers with Code 아카이브
Fine-Grained Image Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jianshen92/stanford-car-grab-challenge
https://github.com/kornia/kornia
https://github.com/kyegomez/PALI
PaLI-X: On Scaling up a Multilingual Vision and Language Model
https://github.com/msfuxian/DualAttentionNet
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples
https://github.com/mv-lab/ViT-FGVC8
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/open-vision-language/oven
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
https://github.com/osmr/imgclsmob
https://github.com/puallee/HOI-Net
https://github.com/xcnkx/fine_grained_classification
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.