Semi-Supervised Object Detection

Semi-supervised object detection uses both labeled data and unlabeled data for training. It not only reduces the annotation burden for training high-performance object detectors but also further improves the object detector by using a large number of unlabeled data.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 115 papers

Title	Date	Tasks	Status	Hype
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection	Mar 24, 2025	Autonomous DrivingData Augmentation	—Unverified	0
ClipGrader: Leveraging Vision-Language Models for Robust Label Quality Assessment in Object Detection	Mar 3, 2025	Objectobject-detection	—Unverified	0
Semi-Supervised Weed Detection in Vegetable Fields: In-domain and Cross-domain Experiments	Feb 24, 2025	Semi-Supervised Object Detection	—Unverified	0
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection	Dec 28, 2024	Few-Shot Object DetectionLong-tailed Object Detection	CodeCode Available	1
Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras	Nov 28, 2024	Navigateobject-detection	—Unverified	0
Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection	Nov 20, 2024	Contrastive Learningobject-detection	—Unverified	0
Applying the Lower-Biased Teacher Model in Semi-Supervised Object Detection	Sep 29, 2024	Objectobject-detection	—Unverified	0
Semi-Supervised 3D Object Detection with Channel Augmentation using Transformation Equivariance	Sep 10, 2024	3D Object DetectionAutonomous Vehicles	—Unverified	0
Class-balanced Open-set Semi-supervised Object Detection for Medical Images	Aug 22, 2024	Objectobject-detection	—Unverified	0
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer	Jul 11, 2024	Data AugmentationObject	—Unverified	0

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All datasets COCO 10% labeled data COCO 5% labeled data COCO 1% labeled data COCO 100% labeled data COCO 2% labeled data COCO 0.5% labeled data COCO

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MixPL	mAP	44.6	—	Unverified
2	Semi-DETR	mAP	43.5	—	Unverified
3	Consistent-Teacher	mAP	40	—	Unverified
4	ARSL	mAP	38.5	—	Unverified
5	Efficient Teacher	mAP	37.9	—	Unverified
6	Revisiting Class Imbalance	mAP	37.4	—	Unverified
7	Dense Teacher	mAP	37.13	—	Unverified
8	MixTeacher-FCOS	mAP	36.95	—	Unverified
9	MixTeacher-FRCNN	mAP	36.72	—	Unverified
10	PseCo	mAP	36.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MixPL	mAP	40.1	—	Unverified
2	Semi-DETR	mAP	40.1	—	Unverified
3	ARSL	mAP	34.45	—	Unverified
4	Efficient Teacher	mAP	34.11	—	Unverified
5	MixTeacher-FRCNN	mAP	34.06	—	Unverified
6	MixTeacher-FCOS	mAP	33.42	—	Unverified
7	Dense Teacher	mAP	33.01	—	Unverified
8	PseCo	mAP	32.5	—	Unverified
9	Revisiting Class Imbalance	mAP	32.21	—	Unverified
10	VC	mAP	32.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MixPL	mAP	31.7	—	Unverified
2	Consistent-Teacher	mAP	25.5	—	Unverified
3	ARSL	mAP	25.36	—	Unverified
4	MixTeacher-FRCNN	mAP	25.16	—	Unverified
5	VC	mAP	23.86	—	Unverified
6	MixTeacher-FCOS	mAP	23.83	—	Unverified
7	Efficient Teacher	mAP	23.76	—	Unverified
8	PseCo	mAP	22.43	—	Unverified
9	MUM	mAP	21.88	—	Unverified
10	SSOD with OCL and RUPL	mAP	21.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MixPL	mAP	55.2	—	Unverified
2	Semi-DETR	mAP	50.5	—	Unverified
3	Consistent-Teacher	mAP	48.2	—	Unverified
4	Dense Teacher	mAP	46.2	—	Unverified
5	PseCo	mAP	46.1	—	Unverified
6	Soft Teacher	mAP	44.9	—	Unverified
7	Revisiting Class Imbalance	mAP	44	—	Unverified
8	RPL	mAP	43.3	—	Unverified
9	Adaptive Class-Rebalancing	mAP	42.79	—	Unverified
10	MUM	mAP	42.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MixPL	mAP	34.7	—	Unverified
2	Consistent-Teacher	mAP	30.7	—	Unverified
3	MixTeacher-FRCNN	mAP	29.11	—	Unverified
4	ARSL	mAP	29.08	—	Unverified
5	Efficient Teacher	mAP	28.7	—	Unverified
6	MixTeacher-FCOS	mAP	27.88	—	Unverified
7	PseCo	mAP	27.77	—	Unverified
8	VC	mAP	27.7	—	Unverified
9	ASTOD	mAP	24.85	—	Unverified
10	MUM	mAP	24.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VC	mAP	19.46	—	Unverified
2	MUM	mAP	18.54	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Sparse Semi-DETR	10%	44.3	—	Unverified