Skip to content

kealennieh/few-shot-object-detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 

Repository files navigation

few-shot-object-detection

Track the trend of few-shot object detection.

1. Paper

2021

  1. [CVPR oral] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding paper code

  2. [arXiv] CAT: Cross-Attention Transformer for One-Shot Object Detection paper

  3. [arXiv] Few-Shot Video Object Detection paper code

  4. [arXiv] Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection paper code

  5. [arVix] Dynamic Relevance Learning for Few-Shot Object Detection paper code

  6. [arVix] A Survey of Self-Supervised and Few-Shot Object Detection paper

2020

  1. [ICML] Frustratingly Simple Few-Shot Object Detection paper code

  2. [CVPR] Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector paper code

  3. [ECCV] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild paper code

  4. [ECCV] Multi-scale Positive Sample Refinement for Few-shot Object Detection paper code

  5. [AAAI] Context-Transformer: Tackling Object Confusion for Few-Shot Detection paper code

2. Dataset

1. Few-Shot Object Detection Dataset (FSOD)

  • website
  • "In all, we construct a dataset of 1000 categories with very clear category split for training and testing, where 531 categories come from ImageNet Dataset and 469 from Open Image Dataset."

2. FSVOD-500 dataset

  • website
  • "a large-scale video dataset FSVOD-500 comprising of 500 classes with class-balanced videos in each category for few-shot learning"

3. Others

1. Discover AI models & code to catalyze your projects

  • website
  • a website you can query with key word 'few-shot'.

2. few-shot-object-detection

  • website
  • a github repository contains a paper list of few-shot object detection paper.

About

Track the trend of few-shot object detection

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published