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

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Showing 301–350 of 449 papers

TitleStatusHype
Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations—0
Unified Visual Relationship Detection with Vision and Language Models—0
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors—0
TMHOI: Translational Model for Human-Object Interaction Detection—0
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning—0
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 Detection—0
Leverage Interactive Affinity for Affordance LearningCode0
CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images—0
Open Set Video HOI detection from Action-Centric Chain-of-Look Prompting—0
DropKey for Vision Transformer—0
Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework—0
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions—0
Interaction Region Visual Transformer for Egocentric Action AnticipationCode0
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022—0
Visual Object Tracking in First Person Vision—0
MECCANO: A Multimodal Egocentric Dataset for Humans Behavior Understanding in the Industrial-like Domain—0
Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations—0
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors—0
DropKey—0
SAVCHOI: Detecting Suspicious Activities using Dense Video Captioning with Human Object Interactions—0
Knowledge Guided Bidirectional Attention Network for Human-Object Interaction Detection—0
A Skeleton-aware Graph Convolutional Network for Human-Object Interaction DetectionCode0
Learning Structured Representations of Visual Scenes—0
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction DetectionCode0
Distance Matters in Human-Object Interaction DetectionCode0
Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions—0
Precise Affordance Annotation for Egocentric Action Video Datasets—0
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection—0
Video-based Human-Object Interaction Detection from Tubelet Tokens—0
Interaction Replica: Tracking Human-Object Interaction and Scene Changes From Human Motion—0
COUCH: Towards Controllable Human-Chair Interactions—0
Persistent-Transient Duality in Human Behavior Modeling—0
Human-Object Interaction Detection via Disentangled Transformer—0
THORN: Temporal Human-Object Relation Network for Action Recognition—0
Interactiveness Field in Human-Object InteractionsCode0
Egocentric Human-Object Interaction Detection Exploiting Synthetic DataCode0
Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction DetectionCode0
Category-Aware Transformer Network for Better Human-Object Interaction Detection—0
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions—0
MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection—0
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows—0
The Overlooked Classifier in Human-Object Interaction Recognition—0
NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions—0
Effective Actor-centric Human-object Interaction Detection—0
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction DetectionCode0
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Multi-Stage Deep Transfer Learning for EmIoT-enabled Human-Computer Interaction—0
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video—0
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All datasetsHICO-DETV-COCOHICOVidHOIAmbiguious-HOIMECCANO

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ours (PViC+)mAP46.49—Unverified
2RLIPv2 (Swin-L)mAP45.09—Unverified
3PViC-SwinLmAP44.32—Unverified
4SOV-STG (Swin-L)mAP43.35—Unverified
5DiffHOImAP41.5—Unverified
6ViPLOmAP37.22—Unverified
7FGAHOImAP37.18—Unverified
8ERNetmAP36.89—Unverified
9CQL+GEN-VLKT-LmAP36.03—Unverified
10QAHOI (Swin-L)mAP35.78—Unverified
#ModelMetricClaimedVerifiedStatus
1RLIPv2AP(S1)72.1—Unverified
2MURENAP(S1)68.8—Unverified
3STIPAP(S1)66—Unverified
4DiffHOIAP(S1)65.7—Unverified
5OCN (ResNet101)AP(S1)65.3—Unverified
6OCN (ResNet50)AP(S1)64.2—Unverified
7CDN (ResNet101)AP(S1)63.91—Unverified
8HOICLIPAP(S1)63.5—Unverified
9QPIC + CPCMAP63.1—Unverified
10Body Part InteractivenessAP(S1)63—Unverified
#ModelMetricClaimedVerifiedStatus
1DEFRmAP65.6—Unverified
2HAKEmAP47.1—Unverified
3PaStaNetmAP46.3—Unverified
4RelViTmAP43.98—Unverified
5Pairwise-PartmAP39.9—Unverified
6Mallya & LazebnikmAP36.1—Unverified
7Girdhar & RamananmAP34.6—Unverified
8R*CNNmAP28.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HOI4ABOTDetection: Full (mAP@0.5)11.12—Unverified
2ST-GAZEDetection: Full (mAP@0.5)10.4—Unverified
3STTRANDetection: Full (mAP@0.5)7.61—Unverified
#ModelMetricClaimedVerifiedStatus
1DJ-RNmAP10.37—Unverified
2iCANmAP8.14—Unverified
#ModelMetricClaimedVerifiedStatus
1SlowFast + FasterRCNNmAP@0.5 role25.93—Unverified