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 26–50 of 179 papers

Title	Date	Tasks	Status	Hype
InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images	May 18, 2024	Few-Shot Object DetectionIncremental Learning	CodeCode Available	1
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection	May 16, 2024	Edge-computingFew-Shot Object Detection	CodeCode Available	7
UniFS: Universal Few-shot Instance Perception with Point Representations	Apr 30, 2024	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images	Apr 29, 2024	Few-Shot Object DetectionMeta-Learning	—Unverified	0
Few-Shot Object Detection: Research Advances and Challenges	Apr 7, 2024	Few-Shot LearningFew-Shot Object Detection	—Unverified	0
AirShot: Efficient Few-Shot Detection for Autonomous Exploration	Apr 7, 2024	Few-Shot Object Detectionobject-detection	CodeCode Available	0
Cross-domain Multi-modal Few-shot Object Detection via Rich Text	Mar 24, 2024	Cross-Domain Few-ShotDomain Adaptation	CodeCode Available	0
Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images	Mar 20, 2024	Contrastive LearningFew-Shot Object Detection	—Unverified	0
Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery	Mar 8, 2024	Few-Shot Object DetectionObject	CodeCode Available	1
Few-Shot Object Detection with Sparse Context Transformers	Feb 14, 2024	Few-Shot Object DetectionObject	—Unverified	0
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
Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection	Jan 20, 2024	Few-Shot Object DetectionObject	—Unverified	0
Fine-Grained Prototypes Distillation for Few-Shot Object Detection	Jan 15, 2024	Few-Shot Object DetectionMeta-Learning	CodeCode Available	2
Few-Shot Object Detection with Foundation Models	Jan 1, 2024	Few-Shot LearningFew-Shot Object Detection	—Unverified	0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation	Jan 1, 2024	Data AugmentationDiversity	—Unverified	0
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection	Dec 27, 2023	Few-Shot Object Detectionobject-detection	—Unverified	0
Revisiting Few-Shot Object Detection with Vision-Language Models	Dec 22, 2023	Autonomous VehiclesFew-Shot Object Detection	CodeCode Available	0
TIDE: Test Time Few Shot Object Detection	Nov 30, 2023	Data AugmentationFew-Shot Object Detection	CodeCode Available	0
Decoupled DETR For Few-shot Object Detection	Nov 20, 2023	DecoderFew-Shot Object Detection	—Unverified	0
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection	Nov 1, 2023	ClassificationFew-Shot Object Detection	CodeCode Available	1
Object Detection in Aerial Images in Scarce Data Regimes	Oct 16, 2023	Few-Shot Object DetectionMetric Learning	—Unverified	0
Detect Everything with Few Examples	Sep 22, 2023	Binary ClassificationCross-Domain Few-Shot Object Detection	CodeCode Available	2
Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects	Sep 19, 2023	Few-Shot Object Detectionobject-detection	CodeCode Available	1
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection	Sep 15, 2023	Few-Shot Object DetectionObject	—Unverified	0
Few-Shot Object Detection via Synthetic Features with Optimal Transport	Aug 29, 2023	DiversityFew-Shot Object 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