https://github.com/CYVincent/Scene-Graph-Transformer-CogTree
공식 코드CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Papers with Code 아카이브
Unbiased Scene Graph Generation
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Unbiased Scene Graph Generation (Unbiased SGG) aims to predict more informative scene graphs composed of more "tail predicates" *(in contrast to "head predicates" in terms of class frequencies) by dealing with the skewed, long-tailed predicate class distribution. (Definition from Chiou et al. "Recovering the Unbiased Scene Graphs from the Biased Ones")
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch
공식 코드https://github.com/Scarecrow0/BGNN-SGG
공식 코드Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
https://github.com/aa200647963/sgg-dhl
공식 코드Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
https://github.com/chch1999/rtpb
공식 코드Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation
https://github.com/coldmanck/recovering-unbiased-scene-graphs
공식 코드https://github.com/dongxingning/sha-gcl-for-sgg
공식 코드Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
https://github.com/hkust-longgroup/cfa
공식 코드Compositional Feature Augmentation for Unbiased Scene Graph Generation
https://github.com/ihaeyong/unbiased-sgg
공식 코드Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation
https://github.com/jeonjaehyeong/dpl
공식 코드Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
https://github.com/sayaknag/unbiasedsgg
공식 코드https://github.com/shanshuo/ml-mwn
공식 코드Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation
https://github.com/visinf/veto
공식 코드Vision Relation Transformer for Unbiased Scene Graph Generation
https://github.com/wanglei0618/htcl
공식 코드Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation
https://github.com/waxnkw/ietrans-sgg.pytorch
공식 코드https://github.com/Karim-53/SGG
https://github.com/jaleedkhan/jSGG
https://github.com/rafa-cxg/PySGG-cxg
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
https://github.com/rlqja1107/torch-st-sgg
https://github.com/shtuplus/pysgg
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
https://github.com/zacharie12/zacharie
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.