摘要: Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition * Authors: [[Qibin Hou]], [[Cheng-Ze Lu]], [[Ming-Ming Cheng]], [[Jiashi Feng]] 阅读全文
posted @ 2023-12-17 23:15 InunI 阅读(124) 评论(0) 推荐(0) 编辑
摘要: MetaFormer Is Actually What You Need for Vision * Authors: [[Weihao Yu]], [[Mi Luo]], [[Pan Zhou]], [[Chenyang Si]], [[Yichen Zhou]], [[Xinchao Wang]] 阅读全文
posted @ 2023-12-17 22:57 InunI 阅读(131) 评论(0) 推荐(0) 编辑
摘要: A ConvNet for the 2020s * Authors: [[Zhuang Liu]], [[Hanzi Mao]], [[Chao-Yuan Wu]], [[Christoph Feichtenhofer]], [[Trevor Darrell]], [[Saining Xie]] 初 阅读全文
posted @ 2023-12-17 17:01 InunI 阅读(118) 评论(0) 推荐(0) 编辑
摘要: 初读印象 comment:: (Swin-transformer)代码:https://github. com/microsoft/Swin-Transformer 动机 将在nlp上主流的Transformer转换到cv上。存在以下困难: nlp中单词标记是一个基本单元,但是视觉元素在尺度上有很大 阅读全文
posted @ 2023-12-17 16:27 InunI 阅读(153) 评论(0) 推荐(0) 编辑
摘要: Fully Attentional Network for Semantic Segmentation * Authors: [[Qi Song]], [[Jie Li]], [[Chenghong Li]], [[Hao Guo]], [[Rui Huang]] 初读印象 comment:: (F 阅读全文
posted @ 2023-12-17 14:16 InunI 阅读(52) 评论(0) 推荐(0) 编辑
摘要: Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation * Authors: [[Yuhui Yuan]], [[Xiaokang Chen]], [[Xilin Chen]], [[ 阅读全文
posted @ 2023-12-17 13:42 InunI 阅读(60) 评论(0) 推荐(0) 编辑
摘要: alias: Fan2023 tags: RetNet rating: ⭐ share: false ptype: article RMT: Retentive Networks Meet Vision Transformers 初读印象 comment:: (RMT)Retentive Netwo 阅读全文
posted @ 2023-12-10 21:49 InunI 阅读(346) 评论(0) 推荐(0) 编辑