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 176200 of 449 papers

TitleStatusHype
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting0
Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation0
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views0
Egocentric Human-Object Interaction Detection: A New Benchmark and Method0
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness0
AnchorCrafter: Animate CyberAnchors Saling Your Products via Human-Object Interacting Video Generation0
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection0
Efficient Human-Object-Interaction (EHOI) Detection via Interaction Label Coding and Conditional Decision0
Bi-Causal: Group Activity Recognition via Bidirectional Causality0
Effective Actor-centric Human-object Interaction Detection0
Dynamic Scene Understanding from Vision-Language Representations0
Compositional Learning in Transformer-Based Human-Object Interaction Detection0
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States0
An analysis of HOI: using a training-free method with multimodal visual foundation models when only the test set is available, without the training set0
A Deep Learning Approach to Object Affordance Segmentation0
DropKey for Vision Transformer0
DropKey0
Compositional Learning for Human Object Interaction0
DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors0
Compositional 3D Human-Object Neural Animation0
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation0
Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions?0
Complex Video Action Reasoning via Learnable Markov Logic Network0
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection0
Distillation of Human-Object Interaction Contexts for Action Recognition0
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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