https://github.com/LUNAProject22/CLIPSitu
공식 코드ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition
Papers with Code 아카이브
Grounded Situation Recognition
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Grounded Situation Recognition aims to produce the structured image summary which describes the primary activity (verb), its relevant entities (nouns), and their bounding-box groundings.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jhcho99/coformer
공식 코드Collaborative Transformers for Grounded Situation Recognition
https://github.com/jhcho99/gsrtr
공식 코드https://github.com/kellyiss/situformer
공식 코드Rethinking the Two-Stage Framework for Grounded Situation Recognition
https://github.com/ruipingl/opensu
공식 코드https://github.com/zhiqic/gsrformer
공식 코드GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement
https://github.com/allenai/swig
https://github.com/my89/imSitu
Commonly Uncommon: Semantic Sparsity in Situation Recognition
https://github.com/thilinicooray/context-aware-reasoning-for-sr
https://github.com/thilinicooray/my_imsitu
Commonly Uncommon: Semantic Sparsity in Situation Recognition
https://github.com/towhee-io/towhee/tree/main/towhee/models/coformer
Collaborative Transformers for Grounded Situation Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.