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 151–179 of 179 papers

TitleStatusHype
Meta-Learning to Detect Rare Objects—0
Meta-RCNN: Meta Learning for Few-Shot Object Detection—0
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning—0
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection—0
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection—0
MM-FSOD: Meta and metric integrated few-shot object detection—0
Multidomain Document Layout Understanding using Few Shot Object Detection—0
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting—0
Multimodal Reference Visual Grounding—0
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging—0
Object Detection in Aerial Images in Scarce Data Regimes—0
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime—0
s-Adaptive Decoupled Prototype for Few-Shot Object Detection—0
Scalable Logo Recognition using Proxies—0
Semantic Enhanced Few-shot Object Detection—0
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection—0
Aligned Unsupervised Pretraining of Object Detectors with Self-training—0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
Spatial Reasoning for Few-Shot Object Detection—0
Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection—0
The Solution for CVPR2024 Foundational Few-Shot Object Detection Challenge—0
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection—0
Towards Accurate Localization by Instance Search—0
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors—0
Towards Generalized and Incremental Few-Shot Object Detection—0
Transformation Invariant Few-Shot Object Detection—0
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images—0
UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation—0
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments—0
Show:102550
← PrevPage 4 of 4Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Training-freeAP36.6—Unverified
2CD-ViTOAP35.3—Unverified
3DE-ViTAP34—Unverified
4BIOTAP26.3—Unverified
5RISF (SWIN-Large)AP25.5—Unverified
6DETReg-ft-full DDETRAP25—Unverified
7imTED+ViT-BAP22.5—Unverified
8hANMCLAP22.4—Unverified
9RISF (Resnet-101)AP21.9—Unverified
10DCFSAP19.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FS-CDIS (iFS-RCNN+ITL 5-shot)box AP10.36—Unverified
2FS-CDIS (MTFA+IMS 5-shot)box AP10.36—Unverified
3FS-CDIS (Res101-MTFA+IMS 5-shot)box AP10.36—Unverified
4FS-CDIS (Res101-MTFA+ITL 5-shot)box AP9.76—Unverified
5FS-CDIS (M-RCNN+ITL 5-shot)box AP9.67—Unverified
6FS-CDIS (M-RCNN+IMS 5-shot)box AP9.52—Unverified
7FS-CDIS (iFS-RCNN+IMS 5-shot)box AP8.44—Unverified
8FS-CDIS (M-RCNN+IMS 3-shot)box AP7.96—Unverified
9FS-CDIS (M-RCNN+ITL 3-shot)box AP7.85—Unverified
10FS-CDIS (M-RCNN+ITL 2-shot)box AP7.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Training-freeAP36.8—Unverified
2CD-ViTOAP35.9—Unverified
3DE-ViTAP34—Unverified
4BIOTAP33.8—Unverified
5RISF (SWIN-Large)AP31.9—Unverified
6imTED+ViT-BAP30.2—Unverified
7DETReg-ft-full DDETRAP30—Unverified
8hANMCLAP25—Unverified
9RISF (Resnet-101)AP24.4—Unverified
10Meta-DETR (Multi-Scale Feature)AP22.9—Unverified
#ModelMetricClaimedVerifiedStatus
1best_single_model_valAP47.55—Unverified
2htcAP39.05—Unverified
3Organizer Provided BaselineAP27.26—Unverified
4nullAP25.8—Unverified
5Forest R-CNNAP23.2—Unverified
6personAP21.82—Unverified
7test balloon 6AP16.62—Unverified
#ModelMetricClaimedVerifiedStatus
1Training-freeAP26.5—Unverified
2hANMCLAP13.4—Unverified
3UniFSAP12.7—Unverified
4RISFAP11.7—Unverified
5DCFSAP10—Unverified
6DeFRCNAP9.3—Unverified
7DCFSAP8.1—Unverified
#ModelMetricClaimedVerifiedStatus
1TestConsistencyAP48.58—Unverified
2ps4AP39.67—Unverified
3Asynchronous SSLAP37.72—Unverified
4CenterNet2AP35.84—Unverified
5Organizer Provided BaselineAP26.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Grounding DINO 1.5 ProAverage Score66.3—Unverified
2MQ-GLIP-TAverage Score57—Unverified
3GLIP-TAverage Score50.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Grounding DINO 1.5 ProAverage Score54.7—Unverified
2MQ-GLIP-TAverage Score43—Unverified
3GLIP-TAverage Score38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DETReg (ours)AP30—Unverified
#ModelMetricClaimedVerifiedStatus
1UniFSAP18.2—Unverified