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 126150 of 449 papers

TitleStatusHype
Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction DetectionCode0
SHD360: A Benchmark Dataset for Salient Human Detection in 360° VideosCode0
Contextual Action Recognition with R*CNNCode0
Egocentric Human-Object Interaction Detection Exploiting Synthetic DataCode0
Efficient Explicit Joint-level Interaction Modeling with Mamba for Text-guided HOI GenerationCode0
Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction DetectionCode0
Rb-PaStaNet: A Few-Shot Human-Object Interaction Detection Based on Rules and Part StatesCode0
Recurrent Space-time Graph Neural NetworksCode0
RoHOI: Robustness Benchmark for Human-Object Interaction DetectionCode0
PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction DetectionCode0
Pose-aware Multi-level Feature Network for Human Object Interaction DetectionCode0
PersonaHOI: Effortlessly Improving Face Personalization in Human-Object Interaction GenerationCode0
Comparative Analysis of CNN-based Spatiotemporal Reasoning in VideosCode0
PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction GenerationCode0
Distance Matters in Human-Object Interaction DetectionCode0
Object-centric Video Representation for Long-term Action AnticipationCode0
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training TechniquesCode0
Pairwise Body-Part Attention for Recognizing Human-Object InteractionsCode0
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual ManipulationsCode0
TED-Net: Dispersal Attention for Perceiving Interaction Region in Indirectly-Contact HOI DetectionCode0
Attentional Pooling for Action RecognitionCode0
Learning Human-Object Interactions by Graph Parsing Neural NetworksCode0
Leverage Interactive Affinity for Affordance LearningCode0
A Skeleton-aware Graph Convolutional Network for Human-Object Interaction DetectionCode0
Interactiveness Field in Human-Object InteractionsCode0
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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