ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.14819
  4. Cited By
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

28 October 2020
Kai Han
Yunhe Wang
Qiulin Zhang
Wei Zhang
Chunjing Xu
Tong Zhang
ArXivPDFHTML

Papers citing "Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets"

19 / 19 papers shown
Title
xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices
xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices
Anjith George
S´ebastien Marcel
CVBM
65
0
0
28 Apr 2025
DεpS: Delayed ε-Shrinking for Faster Once-For-All
  Training
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training
Aditya Annavajjala
Alind Khare
Animesh Agrawal
Igor Fedorov
Hugo Latapie
Myungjin Lee
Alexey Tumanov
CLL
42
0
0
08 Jul 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines
The 3D-PC: a benchmark for visual perspective taking in humans and machines
Drew Linsley
Peisen Zhou
A. Ashok
Akash Nagaraj
Gaurav Gaonkar
Francis E Lewis
Zygmunt Pizlo
Thomas Serre
48
6
0
06 Jun 2024
Efficient Modulation for Vision Networks
Efficient Modulation for Vision Networks
Xu Ma
Xiyang Dai
Jianwei Yang
Bin Xiao
Yinpeng Chen
Yun Fu
Lu Yuan
43
17
0
29 Mar 2024
Distributionally Robust Classification on a Data Budget
Distributionally Robust Classification on a Data Budget
Ben Feuer
Ameya Joshi
Minh Pham
C. Hegde
OOD
37
2
0
07 Aug 2023
Out of Distribution Performance of State of Art Vision Model
Out of Distribution Performance of State of Art Vision Model
Salman Rahman
W. Lee
40
2
0
25 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
26
34
0
11 Jan 2023
Expediting Large-Scale Vision Transformer for Dense Prediction without
  Fine-tuning
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Weicong Liang
Yuhui Yuan
Henghui Ding
Xiao Luo
Weihong Lin
Ding Jia
Zheng-Wei Zhang
Chao Zhang
Hanhua Hu
32
25
0
03 Oct 2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Wenqiang Zhang
Zilong Huang
Guozhong Luo
Tao Chen
Xinggang Wang
Wenyu Liu
Gang Yu
Chunhua Shen
ViT
22
199
0
12 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Paul Gavrikov
J. Keuper
AAML
24
31
0
29 Mar 2022
Avoiding Overfitting: A Survey on Regularization Methods for
  Convolutional Neural Networks
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
C. F. G. Santos
João Paulo Papa
30
211
0
10 Jan 2022
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Ji Lin
Wei-Ming Chen
Han Cai
Chuang Gan
Song Han
45
154
0
28 Oct 2021
Architecture Aware Latency Constrained Sparse Neural Networks
Architecture Aware Latency Constrained Sparse Neural Networks
Tianli Zhao
Qinghao Hu
Xiangyu He
Weixiang Xu
Jiaxing Wang
Cong Leng
Jian Cheng
33
0
0
01 Sep 2021
Mobile-Former: Bridging MobileNet and Transformer
Mobile-Former: Bridging MobileNet and Transformer
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
ViT
183
476
0
12 Aug 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
289
1,524
0
27 Feb 2021
An overview of artificial intelligence techniques for diagnosis of
  Schizophrenia based on magnetic resonance imaging modalities: Methods,
  challenges, and future works
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi
A. Shoeibi
Navid Ghassemi
Parisa Moridian
Ali Khadem
...
Juan M Gorriz
F. Khozeimeh
Yu-Dong Zhang
S. Nahavandi
U. Acharya
22
105
0
24 Feb 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Ying Nie
Kai Han
Zhenhua Liu
Chunjing Xu
Yunhe Wang
OOD
39
22
0
21 Jan 2021
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete
  Back Propagation
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu
Ce Li
Baochang Zhang
J. Han
Xianbin Cao
Jianzhuang Liu
David Doermann
3DV
176
86
0
30 Nov 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
1