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 426449 of 449 papers

TitleStatusHype
Simultaneous Joint and Object Trajectory Templates for Human Activity Recognition from 3-D Data0
Attentional Pooling for Action RecognitionCode0
Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions0
A self-organizing neural network architecture for learning human-object interactions0
Learning event representation: As sparse as possible, but not sparser0
Learning Action Recognition Model From Depth and Skeleton Videos0
Fine-grained Event Learning of Human-Object Interaction with LSTM-CRF0
Care about you: towards large-scale human-centric visual relationship detection0
Detecting and Recognizing Human-Object Interactions0
Recurrent Models for Situation Recognition0
Learning to Detect Human-Object Interactions0
Jointly learning heterogeneous features for rgb-d activity recognition0
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States0
Human Centred Object Co-Segmentation0
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance0
Weakly Supervised Learning of Affordances0
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering0
First Person Action-Object Detection with EgoNet0
HICO: A Benchmark for Recognizing Human-Object Interactions in Images0
Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition0
Object Modelling with a Handheld RGB-D Camera0
Contextual Action Recognition with R*CNNCode0
Discovering Human Interactions in Videos with Limited Data Labeling0
TUHOI: Trento Universal Human Object Interaction Dataset0
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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