https://github.com/MindSpore-scientific/code-14/tree/main/SGDR
SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation
Papers with Code 아카이브
Scene Graph Generation
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A scene graph is a structured representation of an image, where nodes in a scene graph correspond to object bounding boxes with their object categories, and edges correspond to their pairwise relationships between objects. The task of Scene Graph Generation is to generate a visually-grounded scene graph that most accurately correlates with an image.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MindSpore-scientific/code-5/tree/main/SGDR
SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation
https://github.com/ZhecanJamesWang/GLAT_SGG
Knowledge-Embedded Routing Network for Scene Graph Generation
https://github.com/ZhecanJamesWang/GLAT_Visual_Commonsense
Learning Visual Commonsense for Robust Scene Graph Generation
https://github.com/bowen-upenn/Multi-Agent-VQA
Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation Models
https://github.com/ceyzaguirre4/NSM
https://github.com/chaoyivision/SGGpoint
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
https://github.com/dmlc/dgl/tree/master/examples/mxnet/scenegraph
https://github.com/iacercalixto/butd-image-captioning
https://github.com/jacobyuan7/ocn-hoi-benchmark
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
https://github.com/jacobyuan7/rlip
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
https://github.com/jaleedkhan/jSGG
https://github.com/jaleedkhan/neusire
https://github.com/jaleedkhan/zsrr-sgg
https://github.com/jiayan97/linknet-pytorch
https://github.com/jwyang/graph-rcnn.pytorch
https://github.com/lalithjets/global-reasoned-multi-task-model
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
https://github.com/lunaproject22/aar
Spatial-Temporal Transformer for Dynamic Scene Graph Generation
https://github.com/nexusapoorvacus/DeepVariationStructuredRL
https://github.com/rajatkoner08/Graphhopper
Scenes and Surroundings: Scene Graph Generation using Relation Transformer
https://github.com/roytseng-tw/px2graph_lab
https://github.com/shtuplus/pysgg
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
https://github.com/zacharie12/zacharie
Learning to Compose Dynamic Tree Structures for Visual Contexts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.