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
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance SegmentationCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
Universal-Prototype Enhancing for Few-Shot Object DetectionCode1
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
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
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
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object DetectionCode1
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object DetectionCode1
Few-Shot Object Detection with Fully Cross-TransformerCode1
DETReg: Unsupervised Pretraining with Region Priors for Object DetectionCode1
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal PerspectiveCode1
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object DetectionCode1
Dynamic Relevance Learning for Few-Shot Object DetectionCode1
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 Attention Network for Few-Shot Object Detection via Meta-Contrastive LearningCode1
Hierarchical Few-Shot Object Detection: Problem, Benchmark and MethodCode1
Identification of Novel Classes for Improving Few-Shot Object DetectionCode1
Improved Region Proposal Network for Enhanced Few-Shot Object DetectionCode1
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
AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection0
An Effective Crop-Paste Pipeline for Few-shot Object Detection0
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison0
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks0
A Survey of Deep Learning for Low-Shot Object Detection0
A Unified Framework for Attention-Based Few-Shot Object Detection0
A Unified Framework with Meta-dropout for Few-shot Learning0
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners0
Beyond Few-shot Object Detection: A Detailed Survey0
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection0
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection0
Class-Incremental Few-Shot Object Detection0
Context in object detection: a systematic literature review0
Cooperating RPN's Improve Few-Shot Object Detection0
Cos R-CNN for Online Few-shot Object Detection0
Decoupled DETR For Few-shot Object Detection0
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection0
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images0
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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