SOTAVerified

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

Showing 51100 of 179 papers

TitleStatusHype
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationCode1
FSCE: Few-Shot Object Detection via Contrastive Proposal EncodingCode1
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object DetectionCode1
Efficient Few-Shot Object Detection via Knowledge InheritanceCode1
Generalization-Enhanced Few-Shot Object Detection in Remote SensingCode1
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary EnhancementCode1
Generalized Few-Shot Object Detection without ForgettingCode1
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object DetectionCode1
Hierarchical Few-Shot Object Detection: Problem, Benchmark and MethodCode1
Proposal Distribution Calibration for Few-Shot Object DetectionCode1
PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object DetectionCode1
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional NetworksCode1
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance SegmentationCode1
Re-Scoring Using Image-Language Similarity for Few-Shot Object DetectionCode1
Restoring Negative Information in Few-Shot Object DetectionCode1
Rethinking Few-Shot Object Detection on a Multi-Domain BenchmarkCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
Few-Shot Object Detection via Association and DIscriminationCode1
A Few-shot Learning Approach for Historical Ciphered Manuscript RecognitionCode1
Few-shot Object Detection via Feature ReweightingCode1
Dual-Awareness Attention for Few-Shot Object DetectionCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object DetectionCode1
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object DetectionCode1
Few-Shot Object Detection via Synthetic Features with Optimal TransportCode1
Few-Shot Object Detection via Variational Feature AggregationCode1
Few-Shot Object Detection with Attention-RPN and Multi-Relation DetectorCode1
Sylph: A Hypernetwork Framework for Incremental Few-shot Object DetectionCode1
Mobile Robot Manipulation using Pure Object DetectionCode1
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization InferenceCode0
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text DescribabilityCode0
LSTD: A Low-Shot Transfer Detector for Object DetectionCode0
The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationCode0
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object DetectionCode0
RepMet: Representative-based metric learning for classification and one-shot object detectionCode0
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object DetectionCode0
Meta-learning algorithms for Few-Shot Computer VisionCode0
StarNet: towards Weakly Supervised Few-Shot Object DetectionCode0
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial ImagesCode0
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object DetectionCode0
Revisiting Few-Shot Object Detection with Vision-Language ModelsCode0
Cross-domain Multi-modal Few-shot Object Detection via Rich TextCode0
UnseenNet: Fast Training Detector for Any Unseen ConceptCode0
TIDE: Test Time Few Shot Object DetectionCode0
AirShot: Efficient Few-Shot Detection for Autonomous ExplorationCode0
Top-Related Meta-Learning Method for Few-Shot Object DetectionCode0
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot LearningCode0
MDFL: A UNIFIED FRAMEWORK WITH META-DROPOUT FOR FEW-SHOT LEARNING0
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection0
A Comparative Review of Recent Few-Shot Object Detection Algorithms0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Training-freeAP36.6Unverified
2CD-ViTOAP35.3Unverified
3DE-ViTAP34Unverified
4BIOTAP26.3Unverified
5RISF (SWIN-Large)AP25.5Unverified
6DETReg-ft-full DDETRAP25Unverified
7imTED+ViT-BAP22.5Unverified
8hANMCLAP22.4Unverified
9RISF (Resnet-101)AP21.9Unverified
10DCFSAP19.5Unverified
#ModelMetricClaimedVerifiedStatus
1FS-CDIS (Res101-MTFA+IMS 5-shot)box AP10.36Unverified
2FS-CDIS (MTFA+IMS 5-shot)box AP10.36Unverified
3FS-CDIS (iFS-RCNN+ITL 5-shot)box AP10.36Unverified
4FS-CDIS (Res101-MTFA+ITL 5-shot)box AP9.76Unverified
5FS-CDIS (M-RCNN+ITL 5-shot)box AP9.67Unverified
6FS-CDIS (M-RCNN+IMS 5-shot)box AP9.52Unverified
7FS-CDIS (iFS-RCNN+IMS 5-shot)box AP8.44Unverified
8FS-CDIS (M-RCNN+IMS 3-shot)box AP7.96Unverified
9FS-CDIS (M-RCNN+ITL 3-shot)box AP7.85Unverified
10FS-CDIS (M-RCNN+ITL 2-shot)box AP7.56Unverified
#ModelMetricClaimedVerifiedStatus
1Training-freeAP36.8Unverified
2CD-ViTOAP35.9Unverified
3DE-ViTAP34Unverified
4BIOTAP33.8Unverified
5RISF (SWIN-Large)AP31.9Unverified
6imTED+ViT-BAP30.2Unverified
7DETReg-ft-full DDETRAP30Unverified
8hANMCLAP25Unverified
9RISF (Resnet-101)AP24.4Unverified
10Meta-DETR (Multi-Scale Feature)AP22.9Unverified
#ModelMetricClaimedVerifiedStatus
1best_single_model_valAP47.55Unverified
2htcAP39.05Unverified
3Organizer Provided BaselineAP27.26Unverified
4nullAP25.8Unverified
5Forest R-CNNAP23.2Unverified
6personAP21.82Unverified
7test balloon 6AP16.62Unverified
#ModelMetricClaimedVerifiedStatus
1Training-freeAP26.5Unverified
2hANMCLAP13.4Unverified
3UniFSAP12.7Unverified
4RISFAP11.7Unverified
5DCFSAP10Unverified
6DeFRCNAP9.3Unverified
7DCFSAP8.1Unverified
#ModelMetricClaimedVerifiedStatus
1TestConsistencyAP48.58Unverified
2ps4AP39.67Unverified
3Asynchronous SSLAP37.72Unverified
4CenterNet2AP35.84Unverified
5Organizer Provided BaselineAP26.86Unverified
#ModelMetricClaimedVerifiedStatus
1Grounding DINO 1.5 ProAverage Score66.3Unverified
2MQ-GLIP-TAverage Score57Unverified
3GLIP-TAverage Score50.7Unverified
#ModelMetricClaimedVerifiedStatus
1Grounding DINO 1.5 ProAverage Score54.7Unverified
2MQ-GLIP-TAverage Score43Unverified
3GLIP-TAverage Score38.9Unverified
#ModelMetricClaimedVerifiedStatus
1DETReg (ours)AP30Unverified
#ModelMetricClaimedVerifiedStatus
1UniFSAP18.2Unverified