Cross Scale Non Local Attention
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cross Scale Non Local Attention | 238 | 3 years ago | 9 | Python | ||||||
| PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020). | ||||||||||
| Attention_in_graph | 27 | 3 years ago | Python | |||||||
| attention mechanism for graph classification, significant sub-graph mining, graph disstillation | ||||||||||
| Online Soft Mining And Class Aware Attention Pytorch | 15 | 5 years ago | 2 | Python | ||||||
| (Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention) | ||||||||||
| Ala | 15 | 5 years ago | mit | Python | ||||||
| Attention-based LSTM model with the Aspect information to solve financial opinion mining problem (WWW 2018 shared task1) | ||||||||||
| Opinatt | 5 | 7 years ago | Python | |||||||
| Code and dataset for the paper "Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN" | ||||||||||
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Python
Pytorch
Mining
Attention
Super Resolution