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Status: Unchecked ×Keyword: Pyramid Vision Transformer ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

   Wang, Xie, Li et al. · arXiv (Cornell University) · 2021

   The paper proposes Pyramid Vision Transformer (PVT), a convolution-free backbone for dense prediction tasks such as detection and segmentation, and reports it improves results on several downstream tasks.

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   1. UncheckedWith a similar number of parameters, RetinaNet using PVT scored 40.4 AP on COCO, against 36.3 AP for RetinaNet using ResNet50, a 4.1-point gap.“For example, with a comparable number of parameters, RetinaNet+PVT achieves 40.4 AP on the COCO dataset, surpassing RetinNet+ResNet50 (36.3 AP) by 4.1 absolute AP.”