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
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
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation	May 20, 2025	Few-Shot Object DetectionInstance Segmentation	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
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
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
Multimodal Reference Visual Grounding	Apr 2, 2025	Few-Shot Object DetectionVisual Grounding	—Unverified	0
Context in object detection: a systematic literature review	Mar 29, 2025	Few-Shot Object DetectionObject	—Unverified	0
Exploring Few-Shot Object Detection on Blood Smear Images: A Case Study of Leukocytes and Schistocytes	Mar 21, 2025	Few-Shot Object Detectionobject-detection	—Unverified	0
Visual-RFT: Visual Reinforcement Fine-Tuning	Mar 3, 2025	Few-Shot Object DetectionFine-Grained Image Classification	CodeCode Available	7
Multi-Perspective Data Augmentation for Few-shot Object Detection	Feb 25, 2025	Data AugmentationFew-Shot Object Detection	CodeCode Available	1
Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment	Feb 23, 2025	Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection	CodeCode Available	1
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing	Jan 5, 2025	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection	Dec 28, 2024	Few-Shot Object DetectionLong-tailed Object Detection	CodeCode Available	1
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks	Nov 24, 2024	Few-Shot Object DetectionImage Generation	—Unverified	0
UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation	Nov 13, 2024	DecoderFew-Shot Object Detection	—Unverified	0
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability	Oct 20, 2024	Few-Shot Object Detectionimage-classification	CodeCode Available	0
FUSED-Net: Detecting Traffic Signs with Limited Data	Sep 23, 2024	Data AugmentationDomain Adaptation	—Unverified	0
Beyond Few-shot Object Detection: A Detailed Survey	Aug 26, 2024	Few-Shot LearningFew-Shot Object Detection	—Unverified	0
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection	Aug 20, 2024	Data AugmentationFew-Shot Object Detection	—Unverified	0
PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection	Aug 11, 2024	Few-Shot Object Detectionobject-detection	CodeCode Available	1
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection	Jul 2, 2024	Few-Shot Object DetectionMetric Learning	CodeCode Available	1
Semantic Enhanced Few-shot Object Detection	Jun 19, 2024	Few-Shot Object DetectionObject	—Unverified	0
The Solution for CVPR2024 Foundational Few-Shot Object Detection Challenge	Jun 18, 2024	Few-Shot Object DetectionLanguage Modeling	—Unverified	0
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners	May 23, 2024	Cross-Domain Few-Shot Object DetectionFew-Shot Object Detection	—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