(few-shot detection)Review: One-shot Object Detection with Co-Attention and co-Excitation
Ref PyTorch Implement 1. 提出任務 給定一個沒有在訓練集中出現過的類別的圖像補丁，目的是檢測出與該類別相同的所有的實例。 假設查詢的圖像作爲未見過的測試集中的的類的原型，任務是在新的目標圖像中定位查詢對象最可能出現的位置（檢測出新的目標的位置） 2. 解決方案 首先，採用non-local 操作對query-target匹配對探索co-attention, 並生成ROI用於
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相關文章
- 1. Localization and Object Detection
- 2. 論文閱讀：Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
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