(Fewshot detection)Review:RepMet: Representative-based metric learning for few-shot detection

时间 2021-01-02

标签 3.4 Few-Shot Learning 繁體版

原文原文链接

Ref 官方代码 MxNet pytorch Reimplement 确实detection部分 Something About Few-shot Detection 从图1中可以看出，本文中的few-shot detection中的detection并不是完整的detection过程，文章中的大致意思是：让现有的检测模型框架的 classification head 变得可以学习Distance

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1. (Few-shot Detection)Review: fewshot adaptive faster r-cnn
2. Similarity Metric Learning for Face Recognition2013
3. Ranked List Loss for Deep Metric Learning
4. Learning to Measure Changes: Fully Convolutional Siamese Metric Networks for Scene Change Detection
5. TADAM: Task dependent adaptive metric for improved few-shot learning阅读笔记
6. DIVERSITY REGULARIZED METRIC LEARNING FOR PERSON RE-IDENTIFICATION（ICIP2016）
7. TADAM:Task dependent adaptive metric for improved few-shot learning
8. MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
9. Learning Region Features for Object Detection
10. 论文阅读笔记《RepMet Representative-based metric learning for classification and few-shot object detection》

>>更多相关文章<<