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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
| Date | Stars |
|---|---|
| 2026-07-24 | 1182 |
| 2026-07-25 | 1182 |
| 2026-07-28 | 1182 |
| 2026-07-30 | 1182 |
| 2026-08-06 | 1182 |
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# Neighborhood Attention Transformers <a href="https://openaccess.thecvf.com/content/CVPR2023/html/Hassani_Neighborhood_Attention_Transformer_CVPR_2023_paper.html"><img src="https://img.shields.io/badge/CVPR2023-Neighborhood%20Attention%20Transformer-%2300B0F0" /></a> <a href="https://arxiv.org/abs/2209.15001"><img src="https://img.shields.io/badge/arXiv-Dilated%20Neighborhood%20Attention%20Trasnformer-%23C209C1" /></a> [<img src="https://img.shields.io/badge/CUDA%20Extension-NATTEN-%23fc6562" />](https://github.com/SHI-Labs/NATTEN) [](https://paperswithcode.com/sota/instance-segmentation-on-ade20k-val?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/panoptic-segmentation-on-ade20k-val?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/instance-segmentation-on-cityscapes-val?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/panoptic-segmentation-on-coco-minival?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/semantic-segmentation-on-ade20k-val?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/semantic-segmentation-on-cityscapes-val?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/panoptic-segmentation-on-cityscapes-val?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/instance-segmentation-on-coco-minival?p=dilated-neighborhood-attention-transformer) [](https://paperswithcode.com/sota/image-generation-on-ffhq-256-x-256?p=stylenat-giving-each-head-a-new-perspective) [](https://paperswithcode.com/sota/image-generation-on-ffhq-1024-x-1024?p=stylenat-giving-each-head-a-new-perspective) [](https://paperswithcode.com/sota/image-generation-on-lsun-churches-256-x-256?p=stylenat-giving-each-head-a-new-perspective)   **Powerful hierarchical vision transformers based on sliding window attention.** Neighborhood Attention (NA, local attention) was introduced in our original paper, [NAT](NAT.md), and runs efficiently with our extension to PyTorch, [NATTEN](
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Ali Hassani · NVIDIA
77
Humphrey Shi
21
Steven Walton · University of Oregon
2
1
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:665a4ef7cfa08209, topic:pytorch