Papers with Code · CC BY-SA 4.0

Few-Shot Object Detection

2D Object Detection › Object Detection › Few-Shot Object Detection 187 평가 기록 16 datasets

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.

논문

The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation

2304.07444 2023-04-15 이 페이지의 평가 9건

box AP: 10.36

Frustratingly Simple Few-Shot Object Detection

2003.06957 2020-03-16 이 페이지의 평가 2건

AP: 10.0

Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference

2110.13377 2021-10-26 이 페이지의 평가 2건

AP: 13.3

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

2007.12107 2020-07-23 이 페이지의 평가 1건

AP: 12.5

Few-shot Object Detection via Feature Reweighting

1812.01866 2018-12-05 이 페이지의 평가 1건

AP: 5.6

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

1908.01998 2019-08-06 이 페이지의 평가 1건

AP: 11.1

Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

2008.05676 2020-08-13 이 페이지의 평가 1건

AP: 23.2APr: 14.2APc: 22.7APf: 27.7

FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

2103.05950 2021-03-10 이 페이지의 평가 1건

AP: 11.1

LSTD: A Low-Shot Transfer Detector for Object Detection

1803.01529 2018-03-05 이 페이지의 평가 1건

AP: 3.2

Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning

2019-10-01 이 페이지의 평가 1건

AP: 8.7

Meta-Learning to Detect Rare Objects

2019-10-01 이 페이지의 평가 1건

AP: 7.1

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

2007.09384 2020-07-18 이 페이지의 평가 1건

AP: 9.8

Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection

2103.01903 2021-03-02 이 페이지의 평가 1건

AP: 11.3

Universal-Prototype Enhancing for Few-Shot Object Detection

2103.01077 2021-03-01 이 페이지의 평가 1건

AP: 11.0