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
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors0
TMHOI: Translational Model for Human-Object Interaction Detection0
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning0
Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction VideosCode0
ERNet: Efficient and Reliable Human-Object Interaction DetectionCode0
Parallel Reasoning Network for Human-Object Interaction Detection0
FGAHOI: Fine-Grained Anchors for Human-Object Interaction DetectionCode1
Open Set Video HOI detection from Action-Centric Chain-of-Look Prompting0
CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images0
Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework0
Leverage Interactive Affinity for Affordance LearningCode0
DropKey for Vision Transformer0
Full-Body Articulated Human-Object InteractionCode1
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions0
IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object InteractionsCode1
Interaction Region Visual Transformer for Egocentric Action AnticipationCode0
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 20220
Discovering A Variety of Objects in Spatio-Temporal Human-Object InteractionsCode1
PoseGPT: Quantization-based 3D Human Motion Generation and ForecastingCode1
Visual Object Tracking in First Person Vision0
MECCANO: A Multimodal Egocentric Dataset for Humans Behavior Understanding in the Industrial-like Domain0
Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and ChallengesCode1
Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations0
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors0
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationCode1
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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