论文记录：Detecting Visual Relationships with Deep Relational Networks [DR-Net] (CVPR-17)
（这里仅记录了论文的一些内容以及自己的一点点浅薄的理解，具体实验尚未恢复。由于本人新人一枚，若有错误以及不足之处，还望不吝赐教） 总结 previous works 的缺点 将 VRD 视为分类问题，即 consider each type of relationship (1, e . g . e.g. e.g. “ride”) or each distinct visual phrase (2
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相关文章
- 1. 论文阅读：Detecting Visual Relationships with Deep Relational Networks
- 2. Detecting Visual Relationships with Deep Relational Networks（阅读笔记）
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- 4. Deep Anomaly Detection with Deviation Networks 论文笔记
- 5. 论文笔记：SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
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- 9. 《Relational inductive biases, deep learning, and graph networks》图网络 论文解读
- 10. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记