SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
来源: CVPR2017 关键词：imaging captioning; attention mechanism 原文 Motivation visual attention已经在image/video captioning 和 visual question answering 任务中取得了成功. 其合理之处在于人总是根据需要有选择性的观察图像的一部分. 文中将attention-based m
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相关文章
- 1. DenseCap：Fully Convolutional Localization Networks for Dense Captioning
- 2. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 3. 论文笔记：Areas of Attention for Image Captioning
- 4. Normalized and Geometry-Aware Self-Attention Network for Image Captioning
- 5. Paper Reading -- 《Spectral-Spatial Attention Networks for Hyperspectral Image Classification》
- 6. (Paper Reading)Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 7. CVPR 2018 Oral：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 8. 《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》
- 9. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 10. Image Captioning with Semantic Attention