Papers with Code 아카이브
Visual Relationship Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 5
- 보존된 평가 기록
- 24
Visual relationship detection (VRD) is one newly developed computer vision task aiming to recognize relations or interactions between objects in an image. It is a further learning task after object recognition and is essential for fully understanding images, even the visual world.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yrcong/sttran
공식 코드Spatial-Temporal Transformer for Dynamic Scene Graph Generation
https://github.com/zhouhaocv/RLM-Net
공식 코드https://github.com/Elhoseiny-VisionCAIR-Lab/LTVRR
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
https://github.com/GriffinLiang/vrd-dsr
https://github.com/Jungjaewon/Visual-Relationship-Detection
Visual Relationship Detection with Language prior and Softmax
https://github.com/ccc013/DeepLearning_Notes
https://github.com/dmlc/dgl/tree/master/examples/mxnet/scenegraph
https://github.com/fiveai/saod
https://github.com/logictensornetworks/logictensornetworks
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
https://github.com/lunaproject22/aar
Spatial-Temporal Transformer for Dynamic Scene Graph Generation
https://github.com/mcg-nju/trace
https://github.com/nexusapoorvacus/DeepVariationStructuredRL
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection
https://github.com/onyame/Git2PROV
https://github.com/sherif-abdelkarim/LTVRR
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
https://github.com/yangxuntu/vrd
Visual Translation Embedding Network for Visual Relation Detection
https://github.com/zawlin/cvpr17_vtranse
Visual Translation Embedding Network for Visual Relation Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.