Papers with Code 아카이브
Sign Language Recognition
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Sign Language Recognition is a computer vision and natural language processing task that involves automatically recognizing and translating sign language gestures into written or spoken language. The goal of sign language recognition is to develop algorithms that can understand and interpret sign language, enabling people who use sign language as their primary mode of communication to communicate more easily with non-signers.
<span style="color:grey; opacity: 0.6">( Image credit: Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ajdillhoff/colorhandpose3d-pytorch
https://github.com/axinc-ai/ailia-models/tree/master/pose_estimation_3d/blazepose-fullbody
https://github.com/bnestor/second-hand-rl
https://github.com/edwardguil/MMTL
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
https://github.com/faresbs/san
Context Matters: Self-Attention for Sign Language Recognition
https://github.com/fmahoudeau/MiCT-RANet-ASL-FingerSpelling
Fingerspelling recognition in the wild with iterative visual attention
https://github.com/geaxgx/depthai_blazepose
https://github.com/gulvarol/bsl1k
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues
https://github.com/gulvarol/bsldict
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
https://github.com/hamzah-luqman/arabsign
ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition
https://github.com/jiang-du/BlazePose-tensorflow
https://github.com/leekezar/modeling-asl-phonology
https://github.com/m-decoster/ChaLearn-2021-LAP
https://github.com/matyasbohacek/spoter
https://github.com/mpuu00001/Siformer
Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition
https://github.com/neccam/SubUNets
https://github.com/open-mmlab/mmpose
https://github.com/razirastgoo/Sign-Language-Recognition-and-Production
https://github.com/rzhao-zhsq/cv-slt
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
https://github.com/sakura2233565548/Self-Supervised-Representation-Learning-with-Spatial-Temporal-Consistency-for-SLR
https://github.com/snalyami/Swin-MSTP
https://github.com/theerapatkitti/hand_mask_rcnn
https://github.com/theone1984/hand-gesture-ai
https://github.com/vietanhdev/tf-blazepose
https://github.com/vladmandic/blazepose
https://github.com/zheniu/stochastic-cslr
https://github.com/zhong110020/hand3d
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.