Visual Question Answering with Memory-Augmented Networks
Visual Question Answering with Memory-Augmented Networks 2018-05-15 20:15:03 Motivation： 雖然 VQA 已經取得了很大的進步，但是這種方法依然對完全 general，freeform VQA 表現很差，作者認爲是因爲如下兩點： 1. deep models trained with gradient bas
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相關文章
- 1. Visual Question Answering with Memory-Augmented Networks
- 2. Question Answering by Reasoning Across Documents with Graph Convolutional Networks
- 3. Visual Question Answering with Memory-Augmented Networks讀書筆記
- 4. 論文筆記 Visual Question Answering with Memory-Augmented Networks（CVPR2018)
- 5. Visual Question Answering with Memory-Augmented Networks閱讀心得
- 6. Question Answering with Subgraph Embedding
- 7. nips 208 visual question answering 導讀
- 8. 關於Visual Question Answering Eval
- 9. 2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering
- 10. Question Answering with Subgraph Embeddings筆記