[2019CVPR論文筆記]One-Shot Object Detection with Co-Attention and Co-Excitation

時間 2020-12-30

標籤 CVPR2019 Few-shot Learning 简体版

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One-Shot Object Detection with Co-Attention and Co-Excitation 摘要 1.概論介紹 2.相關工作 3.研究方法 3.1 Model 3.2 Non-local object proposals 3.3 Squeeze and co-excitation 3.4 Proposal ranking 4. 實驗結果論文連接：https://a

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1. 論文筆記：Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
2. 《EfficientDet：Scalable and Efficient Object Detection》論文筆記
3. 【論文筆記】：Object detection with location-aware deformable convolution and backward attention filtering
4. 論文筆記：Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information
5. 論文筆記——Camouflaged Object Detection
6. 【論文筆記 detection】soft-nms: Improving Object Detection With One Line of Code
7. 【論文筆記】Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
8. [Arxiv1706] Few-Example Object Detection with Model Communication 論文筆記
9. 【論文閱讀筆記】Aspect-based sentiment analysis with alternating coattention networks
10. Bottom-up Object Detection by Grouping Extreme and Center Points 論文筆記

>>更多相關文章<<