Few-Shot Object Detection

Few-Shot Object Detection is a computer vision task that involves detecting objects in images with limited training data. The goal is to train a model on a few examples of each object class and then use the model to detect objects in new images.

Papers

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Showing 71–80 of 179 papers

Title	Date	Tasks	Status	Hype
Restoring Negative Information in Few-Shot Object Detection	Oct 22, 2020	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition	Sep 26, 2020	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation	Aug 13, 2020	ClassificationFew-Shot Object Detection	CodeCode Available	1
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild	Jul 23, 2020	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection	Jul 18, 2020	Few-Shot Object DetectionObject	CodeCode Available	1
Context-Transformer: Tackling Object Confusion for Few-Shot Detection	Mar 16, 2020	DiversityFew-Shot Learning	CodeCode Available	1
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector	Aug 6, 2019	Few-Shot Object DetectionObject	CodeCode Available	1
Few-shot Object Detection via Feature Reweighting	Dec 5, 2018	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
One-Shot Instance Segmentation	Nov 28, 2018	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
Multimodal Reference Visual Grounding	Apr 2, 2025	Few-Shot Object DetectionVisual Grounding	—Unverified	0

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All datasets MS-COCO (10-shot)CAMO-FS MS-COCO (30-shot)LVIS v1.0 val MS-COCO (1-shot)LVIS v1.0 test-dev ODinW-13 ODinW-35 COCO 2017 MS-COCO (5-shot)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Training-free	AP	36.6	—	Unverified
2	CD-ViTO	AP	35.3	—	Unverified
3	DE-ViT	AP	34	—	Unverified
4	BIOT	AP	26.3	—	Unverified
5	RISF (SWIN-Large)	AP	25.5	—	Unverified
6	DETReg-ft-full DDETR	AP	25	—	Unverified
7	imTED+ViT-B	AP	22.5	—	Unverified
8	hANMCL	AP	22.4	—	Unverified
9	RISF (Resnet-101)	AP	21.9	—	Unverified
10	DCFS	AP	19.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FS-CDIS (iFS-RCNN+ITL 5-shot)	box AP	10.36	—	Unverified
2	FS-CDIS (MTFA+IMS 5-shot)	box AP	10.36	—	Unverified
3	FS-CDIS (Res101-MTFA+IMS 5-shot)	box AP	10.36	—	Unverified
4	FS-CDIS (Res101-MTFA+ITL 5-shot)	box AP	9.76	—	Unverified
5	FS-CDIS (M-RCNN+ITL 5-shot)	box AP	9.67	—	Unverified
6	FS-CDIS (M-RCNN+IMS 5-shot)	box AP	9.52	—	Unverified
7	FS-CDIS (iFS-RCNN+IMS 5-shot)	box AP	8.44	—	Unverified
8	FS-CDIS (M-RCNN+IMS 3-shot)	box AP	7.96	—	Unverified
9	FS-CDIS (M-RCNN+ITL 3-shot)	box AP	7.85	—	Unverified
10	FS-CDIS (M-RCNN+ITL 2-shot)	box AP	7.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Training-free	AP	36.8	—	Unverified
2	CD-ViTO	AP	35.9	—	Unverified
3	DE-ViT	AP	34	—	Unverified
4	BIOT	AP	33.8	—	Unverified
5	RISF (SWIN-Large)	AP	31.9	—	Unverified
6	imTED+ViT-B	AP	30.2	—	Unverified
7	DETReg-ft-full DDETR	AP	30	—	Unverified
8	hANMCL	AP	25	—	Unverified
9	RISF (Resnet-101)	AP	24.4	—	Unverified
10	Meta-DETR (Multi-Scale Feature)	AP	22.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	best_single_model_val	AP	47.55	—	Unverified
2	htc	AP	39.05	—	Unverified
3	Organizer Provided Baseline	AP	27.26	—	Unverified
4	null	AP	25.8	—	Unverified
5	Forest R-CNN	AP	23.2	—	Unverified
6	person	AP	21.82	—	Unverified
7	test balloon 6	AP	16.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Training-free	AP	26.5	—	Unverified
2	hANMCL	AP	13.4	—	Unverified
3	UniFS	AP	12.7	—	Unverified
4	RISF	AP	11.7	—	Unverified
5	DCFS	AP	10	—	Unverified
6	DeFRCN	AP	9.3	—	Unverified
7	DCFS	AP	8.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TestConsistency	AP	48.58	—	Unverified
2	ps4	AP	39.67	—	Unverified
3	Asynchronous SSL	AP	37.72	—	Unverified
4	CenterNet2	AP	35.84	—	Unverified
5	Organizer Provided Baseline	AP	26.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Grounding DINO 1.5 Pro	Average Score	66.3	—	Unverified
2	MQ-GLIP-T	Average Score	57	—	Unverified
3	GLIP-T	Average Score	50.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Grounding DINO 1.5 Pro	Average Score	54.7	—	Unverified
2	MQ-GLIP-T	Average Score	43	—	Unverified
3	GLIP-T	Average Score	38.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DETReg (ours)	AP	30	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniFS	AP	18.2	—	Unverified