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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/neu-vi/diag-hoi

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Diagnosing Human-object Interaction Detectors

https://github.com/nizhf/hoi-prediction-gaze-transformer

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Human-Object Interaction Prediction in Videos through Gaze Following

https://github.com/nvlabs/bongard-hoi

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Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions

https://github.com/oreochocolate/lain

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Locality-Aware Zero-Shot Human-Object Interaction Detection

https://github.com/parul-gupta/multifakeverse

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Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations

https://github.com/phil0212/sgc-net

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SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection

https://github.com/praneeth11009/LIGHTEN-Learning-Interactions-with-Graphs-and-Hierarchical-TEmporal-Networks-for-HOI

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LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos

https://github.com/sha2nkt/deco

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DECO: Dense Estimation of 3D Human-Scene Contact In The Wild

https://github.com/sisidai/InterFusion

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InterFusion: Text-Driven Generation of 3D Human-Object Interaction

https://github.com/skylark0924/rofunc

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Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration

https://github.com/snuvclab/coma

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Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models

https://github.com/soberguo/hoigen

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Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection

https://github.com/srijandas07/VPN

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VPN: Learning Video-Pose Embedding for Activities of Daily Living

https://github.com/syp2ysy/dce

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Descriptive Caption Enhancement with Visual Specialists for Multimodal Perception

https://github.com/tanqiu98/2g-gcn

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Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos

https://github.com/tb2-sy/st-2dgs

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Space-time 2D Gaussian Splatting for Accurate Surface Reconstruction under Complex Dynamic Scenes

https://github.com/tfzhou/C-HOI

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Cascaded Human-Object Interaction Recognition

https://github.com/tomchen-ctj/cvpr23-loveu-aqtc

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First Place Solution to the CVPR'2023 AQTC Challenge: A Function-Interaction Centric Approach with Spatiotemporal Visual-Language Alignment

https://github.com/vaesl/IP-Net

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Learning Human-Object Interaction Detection using Interaction Points

https://github.com/vt-vl-lab/DRG

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DRG: Dual Relation Graph for Human-Object Interaction Detection

https://github.com/vt-vl-lab/iCAN

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iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

https://github.com/woyut/wsag-plsp

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Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors

https://github.com/xiaomabufei/fgahoi

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FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection

https://github.com/xiexh20/behave-dataset

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BEHAVE: Dataset and Method for Tracking Human Object Interactions

https://github.com/xingaoli/dp-hoi

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Disentangled Pre-training for Human-Object Interaction Detection

https://github.com/xinyu1205/recognize-anything

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Open-Set Image Tagging with Multi-Grained Text Supervision

https://github.com/yang-li-2000/distance-aware-occlusion-detection-with-focused-attention

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Distance-Aware Occlusion Detection with Focused Attention

https://github.com/yangfan293/gaaf-dex

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Learning Granularity-Aware Affordances from Human-Object Interaction for Tool-Based Functional Grasping in Dexterous Robotics

https://github.com/yeliudev/ConsNet

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ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection

https://github.com/yoyomimi/AS-Net

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Reformulating HOI Detection as Adaptive Set Prediction

https://github.com/yueliao/gen-vlkt

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GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

https://github.com/yxKryptonite/RAM_code

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RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation

https://github.com/zch-yu/epic-affordance-annotation

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Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos

https://github.com/zhihou7/HOI-CL

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Detecting Human-Object Interaction via Fabricated Compositional Learning

https://github.com/zhihou7/HOI-CL-OneStage

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Affordance Transfer Learning for Human-Object Interaction Detection

https://github.com/zhihou7/VCL

공식 코드

Visual Compositional Learning for Human-Object Interaction Detection

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