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
Improved Region Proposal Network for Enhanced Few-Shot Object DetectionCode1
Aligned Unsupervised Pretraining of Object Detectors with Self-training0
Cos R-CNN for Online Few-shot Object Detection0
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime0
Multi-modal Queried Object Detection in the WildCode2
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection0
The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationCode0
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection0
Explore the Power of Synthetic Data on Few-shot Object Detection0
Identification of Novel Classes for Improving Few-Shot Object DetectionCode1
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object DetectionCode1
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images0
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object DetectionCode1
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging0
An Effective Crop-Paste Pipeline for Few-shot Object Detection0
Incremental Few-Shot Object Detection via Simple Fine-Tuning ApproachCode1
Few-Shot Object Detection via Variational Feature AggregationCode1
Explore the Power of Dropout on Few-shot Learning0
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance SegmentationCode1
s-Adaptive Decoupled Prototype for Few-Shot Object Detection0
Proposal Distribution Calibration for Few-Shot Object DetectionCode1
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection0
Multi-Modal Few-Shot Temporal Action DetectionCode1
Few-shot Object Detection with Refined Contrastive Learning0
Spatial Reasoning for Few-Shot Object Detection0
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection0
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial ImagesCode1
A Unified Framework with Meta-dropout for Few-shot Learning0
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors0
CD-FSOD: A Benchmark for Cross-domain Few-shot Object DetectionCode1
Fast Hierarchical Learning for Few-Shot Object Detection0
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training0
Hierarchical Few-Shot Object Detection: Problem, Benchmark and MethodCode1
Exploring Effective Knowledge Transfer for Few-shot Object DetectionCode1
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionCode1
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal PerspectiveCode1
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive LearningCode1
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation ExploitationCode2
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations0
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments0
Few-shot Object Counting and DetectionCode1
Rethinking Few-Shot Object Detection on a Multi-Domain BenchmarkCode1
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object DetectionCode1
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object DetectionCode1
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning0
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection0
Few-Shot Object Detection with Proposal Balance Refinement0
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual ModelsCode4
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting0
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection0
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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 (iFS-RCNN+ITL 5-shot)box AP10.36Unverified
2FS-CDIS (MTFA+IMS 5-shot)box AP10.36Unverified
3FS-CDIS (Res101-MTFA+IMS 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