論文筆記：Attention Correctness in Neural Image Captioning
Attention Correctness in Neural Image Captioning 這篇論文在attention上做足了文章，分別建立了一個有監督attention訓練機制，和新的評價標準，Attention Correctness。 Supervised attention model 在attention機制中，是以 來表示t時刻在視覺塊a上的關注度，具體如下。 在這個參數的
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相關文章
- 1. 論文筆記：Areas of Attention for Image Captioning
- 2. 論文筆記：Image Captioning with Semantic Attention
- 3. 論文筆記：X-Linear Attention Networks for Image Captioning
- 4. 論文筆記：Reference based LSTM for Image Captioning
- 5. 論文筆記：Contrastive Learning for Image Captioning
- 6. Exploring Visual Relationship for Image Captioning論文筆記
- 7. Image Captioning with Semantic Attention
- 8. 論文筆記：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 9. 【論文筆記】Reasoning about Entailment with Neural Attention
- 10. 【論文筆記】(HEVC)《Multi-stage Attention Convolutional Neural Networks for HEVC In-Loop Filtering》