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 421–430 of 449 papers

Title	Date	Tasks	Status
Pairwise Body-Part Attention for Recognizing Human-Object Interactions	Jul 28, 2018	feature selectionHuman-Object Interaction Detection	CodeCode Available
iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos	Jun 20, 2018	Human-Object Interaction DetectionObject	—Unverified
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos	May 22, 2018	Action RecognitionAction Recognition In Videos	—Unverified
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning	May 7, 2018	Action RecognitionGraph Neural Network	—Unverified
Temporal Relational Reasoning in Videos	Nov 22, 2017	Action ClassificationAction Recognition	CodeCode Available
Simultaneous Joint and Object Trajectory Templates for Human Activity Recognition from 3-D Data	Nov 5, 2017	Activity RecognitionHuman Activity Recognition	—Unverified
Attentional Pooling for Action Recognition	Nov 4, 2017	Action RecognitionHuman-Object Interaction Detection	CodeCode Available
Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions	Oct 10, 2017	Human-Object Interaction DetectionObject	—Unverified
A self-organizing neural network architecture for learning human-object interactions	Oct 5, 2017	Human-Object Interaction DetectionObject	—Unverified
Learning event representation: As sparse as possible, but not sparser	Oct 2, 2017	ClassificationGeneral Classification	—Unverified

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All datasets HICO-DET V-COCO HICO VidHOI Ambiguious-HOI MECCANO

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Ours (PViC+)	mAP	46.49	—	Unverified
2	RLIPv2 (Swin-L)	mAP	45.09	—	Unverified
3	PViC-SwinL	mAP	44.32	—	Unverified
4	SOV-STG (Swin-L)	mAP	43.35	—	Unverified
5	DiffHOI	mAP	41.5	—	Unverified
6	ViPLO	mAP	37.22	—	Unverified
7	FGAHOI	mAP	37.18	—	Unverified
8	ERNet	mAP	36.89	—	Unverified
9	CQL+GEN-VLKT-L	mAP	36.03	—	Unverified
10	QAHOI (Swin-L)	mAP	35.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RLIPv2	AP(S1)	72.1	—	Unverified
2	MUREN	AP(S1)	68.8	—	Unverified
3	STIP	AP(S1)	66	—	Unverified
4	DiffHOI	AP(S1)	65.7	—	Unverified
5	OCN (ResNet101)	AP(S1)	65.3	—	Unverified
6	OCN (ResNet50)	AP(S1)	64.2	—	Unverified
7	CDN (ResNet101)	AP(S1)	63.91	—	Unverified
8	HOICLIP	AP(S1)	63.5	—	Unverified
9	QPIC + CPC	MAP	63.1	—	Unverified
10	Body Part Interactiveness	AP(S1)	63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DEFR	mAP	65.6	—	Unverified
2	HAKE	mAP	47.1	—	Unverified
3	PaStaNet	mAP	46.3	—	Unverified
4	RelViT	mAP	43.98	—	Unverified
5	Pairwise-Part	mAP	39.9	—	Unverified
6	Mallya & Lazebnik	mAP	36.1	—	Unverified
7	Girdhar & Ramanan	mAP	34.6	—	Unverified
8	R*CNN	mAP	28.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HOI4ABOT	Detection: Full (mAP@0.5)	11.12	—	Unverified
2	ST-GAZE	Detection: Full (mAP@0.5)	10.4	—	Unverified
3	STTRAN	Detection: Full (mAP@0.5)	7.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DJ-RN	mAP	10.37	—	Unverified
2	iCAN	mAP	8.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SlowFast + FasterRCNN	mAP@0.5 role	25.93	—	Unverified