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BossNAS: Exploring Hybrid CNN-transformers with Block-wisely
  Self-supervised Neural Architecture Search

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

23 March 2021
Changlin Li
Tao Tang
Guangrun Wang
Jiefeng Peng
Bing Wang
Xiaodan Liang
Xiaojun Chang
    ViT
ArXivPDFHTML

Papers citing "BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search"

19 / 69 papers shown
Title
ViTAS: Vision Transformer Architecture Search
ViTAS: Vision Transformer Architecture Search
Xiu Su
Shan You
Jiyang Xie
Mingkai Zheng
Fei-Yue Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
ViT
16
54
0
25 Jun 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision
  Transformers
IA-RED2^22: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan
Rameswar Panda
Yifan Jiang
Zhangyang Wang
Rogerio Feris
A. Oliva
VLM
ViT
39
153
0
23 Jun 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit
  Gradients
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang
Steven W. Su
Shirui Pan
Xiaojun Chang
Ehsan Abbasnejad
Reza Haffari
8
68
0
21 Jun 2021
Attention mechanisms and deep learning for machine vision: A survey of
  the state of the art
Attention mechanisms and deep learning for machine vision: A survey of the state of the art
A. M. Hafiz
S. A. Parah
R. A. Bhat
13
45
0
03 Jun 2021
MSG-Transformer: Exchanging Local Spatial Information by Manipulating
  Messenger Tokens
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Jiemin Fang
Lingxi Xie
Xinggang Wang
Xiaopeng Zhang
Wenyu Liu
Qi Tian
ViT
11
73
0
31 May 2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Jiangning Zhang
Chao Xu
Jian Li
Wenzhou Chen
Yabiao Wang
Ying Tai
Shuo Chen
Chengjie Wang
Feiyue Huang
Yong Liu
27
22
0
31 May 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
12
996
0
28 Apr 2021
Dynamic Slimmable Network
Dynamic Slimmable Network
Changlin Li
Guangrun Wang
Bing Wang
Xiaodan Liang
Zhihui Li
Xiaojun Chang
13
143
0
24 Mar 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
282
1,523
0
27 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
260
179
0
17 Feb 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can
  Scale Up
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang
Shiyu Chang
Zhangyang Wang
ViT
18
382
0
14 Feb 2021
TransReID: Transformer-based Object Re-Identification
TransReID: Transformer-based Object Re-Identification
Shuting He
Haowen Luo
Pichao Wang
F. Wang
Hao Li
Wei Jiang
ViT
213
793
0
08 Feb 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
270
979
0
27 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,428
0
04 Jan 2021
A Survey on Visual Transformer
A Survey on Visual Transformer
Kai Han
Yunhe Wang
Hanting Chen
Xinghao Chen
Jianyuan Guo
...
Chunjing Xu
Yixing Xu
Zhaohui Yang
Yiman Zhang
Dacheng Tao
ViT
16
2,123
0
23 Dec 2020
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons
Parham Noorzad
Andrii Skliar
G. Mariani
Dushyant Mehta
Chris Lott
Tijmen Blankevoort
137
43
0
16 Dec 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
75
147
0
28 Jan 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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