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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–25 of 179 papers

Title	Date	Tasks	Status	Hype
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection	May 16, 2024	Edge-computingFew-Shot Object Detection	CodeCode Available	7
Visual-RFT: Visual Reinforcement Fine-Tuning	Mar 3, 2025	Few-Shot Object DetectionFine-Grained Image Classification	CodeCode Available	7
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models	Apr 19, 2022	FairnessFew-Shot Image Classification	CodeCode Available	4
No time to train! Training-Free Reference-Based Instance Segmentation	Jul 3, 2025	Cross-Domain Few-Shot Object DetectionFew-Shot Object Detection	CodeCode Available	3
Detect Everything with Few Examples	Sep 22, 2023	Binary ClassificationCross-Domain Few-Shot Object Detection	CodeCode Available	2
Fine-Grained Prototypes Distillation for Few-Shot Object Detection	Jan 15, 2024	Few-Shot Object DetectionMeta-Learning	CodeCode Available	2
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results	Apr 14, 2025	Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection	CodeCode Available	2
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection	Apr 9, 2025	Contrastive Learningcounterfactual	CodeCode Available	2
Multi-modal Queried Object Detection in the Wild	May 30, 2023	Few-Shot Object DetectionObject	CodeCode Available	2
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection	Apr 6, 2025	Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection	CodeCode Available	2
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector	Feb 5, 2024	Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection	CodeCode Available	2
Frustratingly Simple Few-Shot Object Detection	Mar 16, 2020	Cross-Domain Few-Shot Object DetectionFew-Shot Object Detection	CodeCode Available	2
Grounded Language-Image Pre-training	Dec 7, 2021	2D Object DetectionDescribed Object Detection	CodeCode Available	2
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation	Jul 30, 2022	Few-Shot Object DetectionMeta-Learning	CodeCode Available	2
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection	Nov 12, 2021	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1
A Survey of Self-Supervised and Few-Shot Object Detection	Oct 27, 2021	Few-Shot Object DetectionInstance Segmentation	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
Efficient Few-Shot Object Detection via Knowledge Inheritance	Mar 23, 2022	Few-Shot Object DetectionObject	CodeCode Available	1
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images	Oct 25, 2022	BenchmarkingFew-Shot Object Detection	CodeCode Available	1
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection	Oct 11, 2022	Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection	CodeCode Available	1
Dynamic Relevance Learning for Few-Shot Object Detection	Aug 4, 2021	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion	May 2, 2025	Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection	CodeCode Available	1
DETReg: Unsupervised Pretraining with Region Priors for Object Detection	Jun 8, 2021	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection	Mar 10, 2023	Few-Shot Object DetectionNovel Concepts	CodeCode Available	1
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection	Mar 8, 2021	Few-Shot Object Detectionobject-detection	CodeCode Available	1

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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