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 126–150 of 179 papers

Title	Date	Tasks	Status
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations	Jul 25, 2022	Few-Shot Object DetectionKnowledge Distillation	—Unverified
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest	Nov 5, 2020	Data AugmentationFew-Shot Object Detection	—Unverified
Few-Shot Object Detection in Unseen Domains	Apr 11, 2022	Domain AdaptationDomain Generalization	—Unverified
Few-shot Object Detection on Remote Sensing Images	Jun 14, 2020	Few-Shot LearningFew-Shot Object Detection	—Unverified
Few-Shot Object Detection: Research Advances and Challenges	Apr 7, 2024	Few-Shot LearningFew-Shot Object Detection	—Unverified
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment	Jun 19, 2021	ClassificationFew-Shot Object Detection	—Unverified
Few-Shot Object Detection via Knowledge Transfer	Aug 28, 2020	Few-Shot Object DetectionObject	—Unverified
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images	Sep 3, 2020	Few-Shot Object DetectionObject	—Unverified
Few-Shot Object Detection with Foundation Models	Jan 1, 2024	Few-Shot LearningFew-Shot Object Detection	—Unverified
Few-Shot Object Detection with Proposal Balance Refinement	Apr 22, 2022	Few-Shot LearningFew-Shot Object Detection	—Unverified
Few-shot Object Detection with Refined Contrastive Learning	Nov 24, 2022	Contrastive LearningFew-Shot Object Detection	—Unverified
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images	Sep 26, 2020	Few-Shot Object DetectionObject	—Unverified
Few-Shot Object Detection with Sparse Context Transformers	Feb 14, 2024	Few-Shot Object DetectionObject	—Unverified
Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images	Mar 20, 2024	Contrastive LearningFew-Shot Object Detection	—Unverified
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training	Oct 10, 2022	Few-Shot Object Detectionobject-detection	—Unverified
FUSED-Net: Detecting Traffic Signs with Limited Data	Sep 23, 2024	Data AugmentationDomain Adaptation	—Unverified
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection	Apr 11, 2023	DiversityFew-Shot Object Detection	—Unverified
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection	Dec 27, 2023	Few-Shot Object Detectionobject-detection	—Unverified
Hallucination Improves Few-Shot Object Detection	May 4, 2021	Few-Shot Object DetectionHallucination	—Unverified
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning	May 9, 2022	Few-Shot Object DetectionKnowledge Distillation	—Unverified
Incremental Few-Shot Object Detection	Mar 10, 2020	Few-Shot LearningFew-Shot Object Detection	—Unverified
Kernelized Few-Shot Object Detection With Efficient Integral Aggregation	Jan 1, 2022	Few-Shot Object DetectionObject	—Unverified
Incremental Few-Shot Object Detection for Robotics	May 6, 2020	ClassificationContinual Learning	—Unverified
Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss	Jun 19, 2021	Few-Shot Object Detectionobject-detection	—Unverified
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection	Oct 28, 2021	Autonomous DrivingFew-Shot Object Detection	—Unverified

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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 (Res101-MTFA+IMS 5-shot)	box AP	10.36	—	Unverified
2	FS-CDIS (MTFA+IMS 5-shot)	box AP	10.36	—	Unverified
3	FS-CDIS (iFS-RCNN+ITL 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