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Image Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

3

평가표

0

보존된 평가 기록

0

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/sergiomsilva/alpr-unconstrained

https://github.com/tmlr-group/class_prior

Describing Textures in the Wild

https://github.com/tmlr-group/neglabel

Describing Textures in the Wild

https://github.com/tn00378077/licenses

LPRNet: License Plate Recognition via Deep Neural Networks

https://github.com/vijayiitkgp/textue_ensemble_framework

Deep TEN: Texture Encoding Network

https://github.com/xcnkx/fine_grained_classification

Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

https://github.com/xllau/PyTorch-Encoding

Deep TEN: Texture Encoding Network

https://github.com/yonghyun-ahn/line-out-of-distribution-detection-by-leveraging-important-neurons

Describing Textures in the Wild

https://github.com/zhanghang1989/PyTorch-Encoding

Deep TEN: Texture Encoding Network

https://github.com/zhanghang1989/Torch-Encoding-Layer

Deep TEN: Texture Encoding Network

https://github.com/zhusiling/EncNet

Deep TEN: Texture Encoding Network

https://github.com/zhusiling/Pytorch-Encoding-boundary

Deep TEN: Texture Encoding Network

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.