Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
雖然以前的VQA直接將Image-Question元組（I，Q）映射到應答（A），但GVQA將VQA的任務分爲兩步：LOOK：找到回答問題所需的對象/圖像塊，並識別塊中的視覺概念；從問題中找出合理答案的空間，並通過考慮哪些概念是合理的，從一組公認的視覺概念中返回適當的視覺概念。 GVQA的另一個新穎之處是它把回答「是」/「否」作爲一項直觀的驗證任務。 給定一個問題和一個圖像，問題首先通過問題分類器
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相關文章
- 1. Don’t Just Assume； Look and Answer：Overcoming Priors for Visual Question Answering閱讀筆記
- 2. nips 208 visual question answering 導讀
- 3. 【論文筆記-AAAI2020】Overcoming Language Priors in VQA via Decomposed Linguistic Representations
- 4. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 5. Learning Conditioned Graph Structures for Interpretable Visual Question Answering
- 6. Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
- 7. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 8. 《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》
- 9. (Paper Reading)Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 10. CVPR 2018 Oral：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering