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Researchers From China Propose A Pale-Shaped Self-Attention (PS-Attention) And A General Vision Transformer Backbone, Called Pale Transformer
Jan. 10, 2022, 1:58 a.m. | /u/ai-lover
Artificial Intelligence www.reddit.com
Transformers have recently demonstrated promising performance in a variety of visual tests. Inspired by Transformer’s success on a wide range of NLP tasks, Vision Transformer (ViT) first employed a pure Transformer architecture for image classification, demonstrating the promising performance of Transformer architecture for vision tasks.
However, the quadratic complexity of global self-attention leads to high computing costs and memory use, particularly for high-resolution situations, rendering it unsuitable for use in diverse visual tasks. Various strategies confine the range of attention …
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