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Human-Object Interaction Detection

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하위 태스크: 2
평가표: 6
보존된 평가 기록: 103

Human-Object Interaction (HOI) detection is a task of identifying "a set of interactions" in an image, which involves the i) localization of the subject (i.e., humans) and target (i.e., objects) of interaction, and ii) the classification of the interaction labels.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/2020aptx4869lm/Forecasting-Human-Object-Interaction-in-FPV

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Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video

https://github.com/3dlg-hcvc/3dhoi

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Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges

https://github.com/ASMIftekhar/VSGNet

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VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions

https://github.com/Buzz-Beater/LEMMA

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LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities

https://github.com/DirtyHarryLYL/DJ-RN

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Detailed 2D-3D Joint Representation for Human-Object Interaction

https://github.com/DirtyHarryLYL/HAKE

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HAKE: Human Activity Knowledge Engine

https://github.com/DirtyHarryLYL/HAKE-Action-Torch

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HAKE: Human Activity Knowledge Engine

https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network

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Transferable Interactiveness Knowledge for Human-Object Interaction Detection

https://github.com/Dong-JinKim/ActionCooccurrencePriors

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Detecting Human-Object Interactions with Action Co-occurrence Priors

https://github.com/Foruck/Interactiveness-Field

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Interactiveness Field in Human-Object Interactions

https://github.com/IDEA-Research/DiffHOI

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Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model

https://github.com/IuliaDuta/RSTG

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Recurrent Space-time Graph Neural Networks

https://github.com/KlabCMU/kin-poly

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Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation

https://github.com/MVIG-SJTU/DIRV

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DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection

https://github.com/MuchHair/PD-Net

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Polysemy Deciphering Network for Robust Human-Object Interaction Detection

https://github.com/NVlabs/RelViT

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RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

https://github.com/NextVisionLab/egoism-hoi

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Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario

https://github.com/OreoChocolate/MUREN

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Relational Context Learning for Human-Object Interaction Detection

https://github.com/PanoAsh/SHD360

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SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos

https://github.com/SHI-Labs/Human-Object-Interaction-Detection

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Human-Object Interaction Detection:A Quick Survey and Examination of Methods

https://github.com/SeongJong-Yoo/VioPose

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VioPose: Violin Performance 4D Pose Estimation by Hierarchical Audiovisual Inference

https://github.com/SherlockHolmes221/GGNet

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Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection

https://github.com/ShuangLI59/weakly-supervised-human-object-detection-video

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Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions

https://github.com/Sirui-Xu/InterDiff

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InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion

https://github.com/Sirui-Xu/InterMimic

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InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions

https://github.com/SiyuanQi/gpnn

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Learning Human-Object Interactions by Graph Parsing Neural Networks

https://github.com/UCSB-VRL/GTNet

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GTNet:Guided Transformer Network for Detecting Human-Object Interactions

https://github.com/YueLiao/CDN

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Mining the Benefits of Two-stage and One-stage HOI Detection

https://github.com/YueLiao/PPDM

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PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

https://github.com/agnjason/fmhr

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Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering

https://github.com/anindita127/IMoS

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IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

https://github.com/ardhendubehera/sr-gnn

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SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

https://github.com/artanic30/hoiclip

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HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models

https://github.com/baldassarreFe/ws-vrd

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Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks

https://github.com/bbepoch/HoiTransformer

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End-to-End Human Object Interaction Detection with HOI Transformer

https://github.com/birlrobotics/PMN

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Pose-based Modular Network for Human-Object Interaction Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.