Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning.CVPR,2019. 摘要 自動生成視頻字幕是一項基本的計算機視覺的任務，最近使用CNN和RNN技術解決該任務。這些方法主要關注於使用RNN序列學習方法生成更好的字幕，但卻忽略了使用CNN提取特徵的重要性。我們精
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相關文章
- 1. Semantic Compositional Networks for Visual Captioning論文分享
- 2. Spatiotemporal Residual Networks for Video Action Recognition
- 3. Watch,Listen,and Describe:Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
- 4. Context Encoding for Semantic Segmentation[CVPR2018]
- 5. CVPR 2018 Oral：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 6. Context Encoding for Semantic Segmentation
- 7. Spatiotemporal CNN for Video Object Segmentation
- 8. Spatiotemporal Multiplier Networks for Video Action Recognition
- 9. Video Captioning 綜述
- 10. Direct Access to Video Encoding and Decoding