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 301325 of 449 papers

TitleStatusHype
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection0
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition0
Distillation of Human-Object Interaction Contexts for Action Recognition0
QAHOI: Query-Based Anchors for Human-Object Interaction DetectionCode1
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition0
The Overlooked Classifier in Human-Object Interaction Recognition0
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration0
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise TransformerCode1
Human-Object Interaction Detection via Weak Supervision0
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos0
whu-nercms at trecvid2021:instance search task0
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal RegionsCode1
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object InteractionCode1
ACP++: Action Co-occurrence Priors for Human-Object Interaction DetectionCode1
Is First Person Vision Challenging for Object Tracking?0
Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition0
Gravity-Aware Monocular 3D Human-Object Reconstruction0
D3D-HOI: Dynamic 3D Human-Object Interactions from VideosCode1
Exploiting Scene Graphs for Human-Object Interaction DetectionCode1
Mining the Benefits of Two-stage and One-stage HOI DetectionCode1
GTNet:Guided Transformer Network for Detecting Human-Object InteractionsCode1
Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions0
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action DetectionCode1
Is Object Detection Necessary for Human-Object Interaction Recognition?0
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions0
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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