(few-shot detection)Review: One-shot Object Detection with Co-Attention and co-Excitation
Ref PyTorch Implement 1. 提出任务 给定一个没有在训练集中出现过的类别的图像补丁，目的是检测出与该类别相同的所有的实例。 假设查询的图像作为未见过的测试集中的的类的原型，任务是在新的目标图像中定位查询对象最可能出现的位置（检测出新的目标的位置） 2. 解决方案 首先，采用non-local 操作对query-target匹配对探索co-attention, 并生成ROI用于
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相关文章
- 1. Localization and Object Detection
- 2. 论文阅读：Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
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- 5. Image Recognition and Object Detection : Part 1
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