FocusFormer: Focusing on What We Need via Architecture Sampler

FocusFormer: Focusing on What We Need via Architecture Sampler

23 August 2022

Jing Liu

Jianfei Cai

Bohan Zhuang

Papers citing "FocusFormer: Focusing on What We Need via Architecture Sampler"

7 / 7 papers shown

Title
Efficient Stitchable Task Adaptation Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 26 3 0 29 Nov 2023
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 349 500 0 13 Jul 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 284 1,524 0 27 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 277 3,623 0 24 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 979 0 27 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016