SOTAVerified

Human-Object Interaction Detection

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.

Papers

Showing 226250 of 449 papers

TitleStatusHype
InteractEdit: Zero-Shot Editing of Human-Object Interactions in Images0
Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection0
InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions0
Towards Flexible Visual Relationship Segmentation0
Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition0
A Graph-based Interactive Reasoning for Human-Object Interaction Detection0
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction0
Agglomerative Transformer for Human-Object Interaction Detection0
AffordanceLLM: Grounding Affordance from Vision Language Models0
InterTrack: Tracking Human Object Interaction without Object Templates0
Is First Person Vision Challenging for Object Tracking?0
Is First Person Vision Challenging for Object Tracking?0
Is Object Detection Necessary for Human-Object Interaction Recognition?0
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows0
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion0
Jointly learning heterogeneous features for rgb-d activity recognition0
Kinematics-based 3D Human-Object Interaction Reconstruction from Single View0
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation0
Knowledge Guided Bidirectional Attention Network for Human-Object Interaction Detection0
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding0
Learning Action Recognition Model From Depth and Skeleton Videos0
Generating Videos of Zero-Shot Compositions of Actions and Objects0
Learning Asynchronous and Sparse Human-Object Interaction in Videos0
Towards Overcoming False Positives in Visual Relationship Detection0
Learning event representation: As sparse as possible, but not sparser0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ours (PViC+)mAP46.49Unverified
2RLIPv2 (Swin-L)mAP45.09Unverified
3PViC-SwinLmAP44.32Unverified
4SOV-STG (Swin-L)mAP43.35Unverified
5DiffHOImAP41.5Unverified
6ViPLOmAP37.22Unverified
7FGAHOImAP37.18Unverified
8ERNetmAP36.89Unverified
9CQL+GEN-VLKT-LmAP36.03Unverified
10QAHOI (Swin-L)mAP35.78Unverified
#ModelMetricClaimedVerifiedStatus
1RLIPv2AP(S1)72.1Unverified
2MURENAP(S1)68.8Unverified
3STIPAP(S1)66Unverified
4DiffHOIAP(S1)65.7Unverified
5OCN (ResNet101)AP(S1)65.3Unverified
6OCN (ResNet50)AP(S1)64.2Unverified
7CDN (ResNet101)AP(S1)63.91Unverified
8HOICLIPAP(S1)63.5Unverified
9QPIC + CPCMAP63.1Unverified
10Body Part InteractivenessAP(S1)63Unverified
#ModelMetricClaimedVerifiedStatus
1DEFRmAP65.6Unverified
2HAKEmAP47.1Unverified
3PaStaNetmAP46.3Unverified
4RelViTmAP43.98Unverified
5Pairwise-PartmAP39.9Unverified
6Mallya & LazebnikmAP36.1Unverified
7Girdhar & RamananmAP34.6Unverified
8R*CNNmAP28.5Unverified
#ModelMetricClaimedVerifiedStatus
1HOI4ABOTDetection: Full (mAP@0.5)11.12Unverified
2ST-GAZEDetection: Full (mAP@0.5)10.4Unverified
3STTRANDetection: Full (mAP@0.5)7.61Unverified
#ModelMetricClaimedVerifiedStatus
1DJ-RNmAP10.37Unverified
2iCANmAP8.14Unverified
#ModelMetricClaimedVerifiedStatus
1SlowFast + FasterRCNNmAP@0.5 role25.93Unverified