English(EN) ProgResViT: Progressive Resolution and Width for Adaptive Vision Transformers

新型自适应视觉Transformer渐进式处理图像以提高效率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-04 04:00

研究人员开发了ProgResViT，这是一种新颖的自适应视觉Transformer，它通过多个回合渐进式地处理图像。该方法从低分辨率图像和较窄的子网络开始，当置信度高时终止推理，或继续处理更高分辨率和更宽的子网络以进行精炼。该系统利用渐进式条件软门控（PSG）根据当前回合、块和输入分辨率来条件化token融合和层输出。ProgResViT在图像分类任务上展示了比现有自适应方法更好的准确性-计算权衡，并在自监督学习和语义分割方面显示出潜力。 AI

影响这种自适应方法可能导致AI模型中更高效的图像处理，降低分类和分割等任务的计算成本。

排序理由该集群包含一篇详细介绍视觉Transformer新模型架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Ali Hojjat, Janek Haberer, Olaf Landsiedel · 2026-09-04 04:00

ProgResViT：用于自适应 Vision Transformers 的渐进式分辨率和宽度

arXiv:2609.03216v1 Announce Type: new Abstract: Vision Transformers (ViTs) typically process every image using a fixed input resolution and model width, even though many images can be classified with substantially less computation. We introduce ProgResViT, an input-adaptive ViT t…

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ProgResViT：用于自适应 Vision Transformers 的渐进式分辨率和宽度

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