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MobileNetV2: Inverted Residuals and Linear Bottlenecks

13 January 2018

Papers citing "MobileNetV2: Inverted Residuals and Linear Bottlenecks"

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Title
Dynamic Group Convolution for Accelerating Convolutional Neural Networks Z. Su Linpu Fang Wenxiong Kang D. Hu M. Pietikäinen Li Liu 81 45 0 08 Jul 2020
Robust Re-Identification by Multiple Views Knowledge Distillation Angelo Porrello Luca Bergamini Simone Calderara 80 67 0 08 Jul 2020
RobFR: Benchmarking Adversarial Robustness on Face Recognition Xiao Yang Dingcheng Yang Yinpeng Dong Hang Su Wenjian Yu Jun Zhu AAML 130 14 0 08 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 152 919 0 08 Jul 2020
On Learning Semantic Representations for Million-Scale Free-Hand Sketches Peng Xu Yongye Huang Tongtong Yuan Tao Xiang Timothy M. Hospedales Yi-Zhe Song Liang Wang SSL 88 4 0 07 Jul 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning Yawen Wu Zhepeng Wang Yiyu Shi Jiaxi Hu 74 46 0 07 Jul 2020
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones V. Parmar Narayani Bhatia Shubham Negi Manan Suri SSeg 40 9 0 06 Jul 2020
Image Stitching Based on Planar Region Consensus Aocheng Li Jie Guo Yanwen Guo 3DV 42 19 0 06 Jul 2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design Zhou Daquan Qibin Hou Yunpeng Chen Jiashi Feng Shuicheng Yan 94 203 0 05 Jul 2020
Experiments of Federated Learning for COVID-19 Chest X-ray Images Boyi Liu Bingjie Yan Yize Zhou Yifan Yang Yixian Zhang OOD FedML 69 155 0 05 Jul 2020
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19 Jianguo Chen KenLi Li Zhaolei Zhang Keqin Li Philip S. Yu 79 105 0 04 Jul 2020
Weight-dependent Gates for Network Pruning Yun Li Zechun Liu Weiqun Wu Haotian Yao Xinming Zhang Fangqiu Yi B. Yin 85 14 0 04 Jul 2020
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition Bin-Bin Gao Hong-Yu Zhou 71 115 0 03 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 68 2 0 02 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture Jinhua Liang Tao Zhang Guoqing Feng 48 18 0 02 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design Dongyoon Han Sangdoo Yun Byeongho Heo Y. Yoo 3DV 85 86 0 02 Jul 2020
Iterative Bounding Box Annotation for Object Detection Bishwo Adhikari H. Huttunen ObjD 56 30 0 02 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 114 85 0 02 Jul 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou Mao Ye Chen Chen Tianjian Meng Mingxing Tan Xiaodan Song Quoc V. Le Qiang Liu Dale Schuurmans 63 20 0 01 Jul 2020
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 37 0 0 01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 132 549 0 01 Jul 2020
Deep Feature Space: A Geometrical Perspective Ioannis Kansizoglou Loukas Bampis Antonios Gasteratos 88 40 0 30 Jun 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 101 486 0 30 Jun 2020
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures Yawei Li Wen Li Martin Danelljan Peng Sun Shuhang Gu Luc Van Gool Radu Timofte 86 18 0 29 Jun 2020
Geometry-Inspired Top-k Adversarial Perturbations Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 83 10 0 28 Jun 2020
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation Jun Liu Qing Li Rui Cao Wenming Tang Guoping Qiu MDE 66 35 0 27 Jun 2020
Making DensePose fast and light Ruslan Rakhimov Emil Bogomolov A. Notchenko Fung Mao Alexey Artemov Denis Zorin Evgeny Burnaev CVBM 3DH 132 5 0 26 Jun 2020
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks Rajat Saini N. Jha B. K. Das Sparsh Mittal C.Krishna Mohan 71 83 0 26 Jun 2020
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection Asmaa Abbas M. Abdelsamea M. Gaber OOD ViT 71 64 0 26 Jun 2020
Neural Architecture Design for GPU-Efficient Networks Ming Lin Hesen Chen Xiuyu Sun Qi Qian Hao Li Rong Jin GNN 95 20 0 24 Jun 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 111 122 0 24 Jun 2020
Instant 3D Object Tracking with Applications in Augmented Reality Adel Ahmadyan Tingbo Hou Jianing Wei Liangkai Zhang Artsiom Ablavatski Matthias Grundmann 3DH 51 21 0 23 Jun 2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild Micah Goldblum Arjun Gupta John P. Dickerson Tom Goldstein AAML TDI 114 164 0 22 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores Madan Ravi Ganesh Dawsin Blanchard Jason J. Corso Salimeh Yasaei Sekeh 61 11 0 22 Jun 2020
DO-Conv: Depthwise Over-parameterized Convolutional Layer Jinming Cao Yangyan Li Mingchao Sun Ying-Cong Chen Dani Lischinski Daniel Cohen-Or Baoquan Chen Changhe Tu OOD 101 173 0 22 Jun 2020
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search Jiemin Fang Yuzhu Sun Qian Zhang Kangjian Peng Yuan Li Wenyu Liu Xinggang Wang SSeg 118 34 0 21 Jun 2020
Sparse GPU Kernels for Deep Learning Trevor Gale Matei A. Zaharia C. Young Erich Elsen 99 234 0 18 Jun 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 123 48 0 18 Jun 2020
Cogradient Descent for Bilinear Optimization Lian Zhuo Baochang Zhang Linlin Yang Hanlin Chen QiXiang Ye David Doermann G. Guo Rongrong Ji 58 14 0 16 Jun 2020
Improving accuracy and speeding up Document Image Classification through parallel systems Javier Ferrando J. L. Domínguez Jordi Torres Raul Garcia David García Daniel Garrido J. Cortada M. Valero 119 26 0 16 Jun 2020
Progressive Skeletonization: Trimming more fat from a network at initialization Pau de Jorge Amartya Sanyal Harkirat Singh Behl Philip Torr Grégory Rogez P. Dokania 116 95 0 16 Jun 2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning Jie An Tao Li Haozhi Huang Li Shen Xuan Wang Yongyi Tang Jinwen Ma Wei Liu Jiebo Luo 3DH 3DPC 93 18 0 16 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 184 39 0 16 Jun 2020
CryptoNAS: Private Inference on a ReLU Budget Zahra Ghodsi A. Veldanda Brandon Reagen S. Garg 92 87 0 15 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 96 212 0 15 Jun 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy Tianzhe Wang Kuan-Chieh Wang Han Cai Ji Lin Zhijian Liu Song Han MQ 85 176 0 15 Jun 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 106 179 0 15 Jun 2020
Spherical Motion Dynamics: Learning Dynamics of Neural Network with Normalization, Weight Decay, and SGD Ruosi Wan Zhanxing Zhu Xiangyu Zhang Jian Sun 78 11 0 15 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 111 15 0 15 Jun 2020
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights Byeongho Heo Sanghyuk Chun Seong Joon Oh Dongyoon Han Sangdoo Yun Gyuwan Kim Youngjung Uh Jung-Woo Ha ODL 398 27 0 15 Jun 2020