https://bitbucket.org/deeplabai/vrd
공식 코드Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection
Papers with Code 아카이브
Visual Relationship Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/BryanPlummer/pl-clc
공식 코드Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues
https://github.com/Cadene/block.bootstrap.pytorch
공식 코드BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
https://github.com/Sina-Baharlou/Depth-VRD
공식 코드https://github.com/Vision-CAIR/LTVRR
공식 코드Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
https://github.com/Vision-CAIR/RelTransformer
공식 코드RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition
https://github.com/baldassarreFe/ws-vrd
공식 코드Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
https://github.com/coldmanck/RVL-BERT
공식 코드Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal Representations
https://github.com/coldmanck/recovering-unbiased-scene-graphs
공식 코드https://github.com/dawn-lx/openvoc-vidvrd
공식 코드Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
https://github.com/dawn-lx/vidvrd-tracklets
공식 코드Video Relation Detection via Tracklet based Visual Transformer
https://github.com/deeplab-ai/selfsupervisedvrd
공식 코드https://github.com/doubledaibo/drnet
공식 코드Detecting Visual Relationships with Deep Relational Networks
https://github.com/google-research-datasets/2.5vrd
공식 코드https://github.com/google-research/scenic
공식 코드Unified Visual Relationship Detection with Vision and Language Models
https://github.com/ivanDonadello/Visual-Relationship-Detection-LTN
공식 코드Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
https://github.com/jyhong0304/visual-relationship-detection-rwfn
공식 코드https://github.com/kemaloksuz/LRP-Error
공식 코드https://github.com/lucaspk512/vrdone
공식 코드https://github.com/mcg-nju/sportshhi
공식 코드SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos
https://github.com/microsoft/scene_graph_benchmark
공식 코드https://github.com/mlvlab/speaq
공식 코드https://github.com/palaashagrawal/stupd
공식 코드STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning
https://github.com/pavliclab/aaai2022-clear2022-visual_relationship_detection-rwfn
공식 코드https://github.com/phyllish/nmp
공식 코드https://github.com/praneeth11009/LIGHTEN-Learning-Interactions-with-Graphs-and-Hierarchical-TEmporal-Networks-for-HOI
공식 코드LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos
https://github.com/resuldagdanov/robot-learning-human-trust
공식 코드https://github.com/sangminwoo/Temporal-Span-Proposal-Network-VidVRD
공식 코드What and When to Look?: Temporal Span Proposal Network for Video Relation Detection
https://github.com/shanshuo/social-fabric
공식 코드Social Fabric: Tubelet Compositions for Video Relation Detection
https://github.com/shibshib/Moe-VRD
공식 코드https://github.com/thunlp/pevl
공식 코드PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
https://github.com/wangyongqi558/METOR
공식 코드https://github.com/xiaoqinzhe/vrdetection
공식 코드https://github.com/yang-li-2000/distance-aware-occlusion-detection-with-focused-attention
공식 코드https://github.com/yaohungt/GSTEG_CVPR_2019
공식 코드Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph
https://github.com/yikang-li/FactorizableNet
공식 코드Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.