Parallel Reasoning Network for Human-Object Interaction Detection
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Abstract (arXiv)
Human-Object Interaction (HOI) detection aims to learn how human interacts with surrounding objects. Previous HOI detection frameworks simultaneously detect human, objects and their corresponding interactions by using a predictor. Using only one shared predictor cannot differentiate the attentive field of instance-level prediction and relation-level prediction. To solve this problem, we propose a new transformer-based method named Parallel Reasoning Network(PR-Net), which constructs two independent predictors for instance-level localization and relation-level understanding. The former predictor concentrates on instance-level localization by perceiving instances' extremity regions. The latter broadens the scope of relation region to reach a better relation-level semantic understanding. Extensive experiments and analysis on HICO-DET benchmark exhibit that our PR-Net effectively alleviated this problem. Our PR-Net has achieved competitive results on HICO-DET and V-COCO benchmarks.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 30 of its 38 references that are in the map. First posted on arXiv 9 Jan 2023.
Builds on
30 of 38 references.
References · 30
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
- 2020End-to-End Object Detection with Transformerscited by 7,384
- 2017Mask R-CNNcited by 7,259
- 2017Learning to Detect Human-Object Interactionscited by 238
- 2017Detecting and Recognizing Human-Object Interactionscited by 199
- 2015Visual Semantic Role Labelingcited by 188
- 2021HOTR: End-to-End Human-Object Interaction Detection with Transformerscited by 183
- 2018Learning Human-Object Interactions by Graph Parsing Neural Networkscited by 176
- 2021QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Informationcited by 147
- 2019PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detectioncited by 143
- 2021End-to-End Human Object Interaction Detection with HOI Transformercited by 134
18 more
- 2020Visual Compositional Learning for Human-Object Interaction Detectioncited by 129
- 2018iCAN: Instance-Centric Attention Network for Human-Object Interaction Detectioncited by 126
- 2020VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutionscited by 115
- 2020Learning Human-Object Interaction Detection using Interaction Pointscited by 108
- 2021Reformulating HOI Detection as Adaptive Set Predictioncited by 95
- 2020Detailed 2D-3D Joint Representation for Human-Object Interactioncited by 93
- 2020Spatially Conditioned Graphs for Detecting Human-Object Interactionscited by 93
- 2019Pose-aware Multi-level Feature Network for Human Object Interaction Detectioncited by 88
- 2020HOI Analysis: Integrating and Decomposing Human-Object Interactioncited by 81
- 2021Detecting Human-Object Interaction via Fabricated Compositional Learningcited by 79
- 2021Affordance Transfer Learning for Human-Object Interaction Detectioncited by 79
- 2020Detecting Human-Object Interactions with Action Co-occurrence Priorscited by 72
- 2021Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detectioncited by 58
- 2019Deep Contextual Attention for Human-Object Interaction Detectioncited by 54
- 2019Detecting Human-Object Interactions via Functional Generalizationcited by 53
- 2020Contextual Heterogeneous Graph Network for Human-Object Interaction Detectioncited by 50
- 2020DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detectioncited by 31
- 2020A Graph-based Interactive Reasoning for Human-Object Interaction Detectioncited by 12
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.