MobileNetV2: Inverted Residuals and Linear Bottlenecks

13 January 2018

Papers citing "MobileNetV2: Inverted Residuals and Linear Bottlenecks"

26 / 126 papers shown

Title
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run Bichen Wu Chaojian Li Hang Zhang Xiaoliang Dai Peizhao Zhang Matthew Yu Jialiang Wang Yingyan Lin Peter Vajda ViT 64 24 0 19 Nov 2021
An Information Theory-inspired Strategy for Automatic Network Pruning Xiawu Zheng Yuexiao Ma Teng Xi Gang Zhang Errui Ding Yuchao Li Jie Chen Yonghong Tian Rongrong Ji 96 13 0 19 Aug 2021
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference Chaojian Li Wuyang Chen Yuchen Gu Tianlong Chen Yonggan Fu Zhangyang Wang Yingyan Lin 80 0 0 16 Jul 2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks Yonggan Fu Zhongzhi Yu Yongan Zhang Yi Ding Chaojian Li Yongyuan Liang Mingchao Jiang Zhangyang Wang Yingyan Lin 43 3 0 22 Apr 2021
HAPI: Hardware-Aware Progressive Inference Stefanos Laskaridis Stylianos I. Venieris Hyeji Kim Nicholas D. Lane 45 46 0 10 Aug 2020
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms F. Alonso-Fernandez Javier Barrachina Kevin Hernandez Diaz J. Bigün CVBM 56 8 0 16 Jul 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 88 39 0 16 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 44 15 0 15 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning Tao R. Lin Lingjing Kong Sebastian U. Stich Martin Jaggi FedML 47 1,026 0 12 Jun 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning Lianmin Zheng Chengfan Jia Minmin Sun Zhao Wu Cody Hao Yu ... Jun Yang Danyang Zhuo Koushik Sen Joseph E. Gonzalez Ion Stoica 100 386 0 11 Jun 2020
PowerNorm: Rethinking Batch Normalization in Transformers Sheng Shen Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer BDL 51 16 0 17 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping Jiaxiong Qiu Cai Chen Shuaicheng Liu B. Zeng 48 39 0 16 Mar 2020
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild Haibo Jin Tianran Ouyang Ling Shao CVBM 86 123 0 08 Mar 2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions Zechun Liu Zhiqiang Shen Marios Savvides Kwang-Ting Cheng MQ 66 350 0 07 Mar 2020
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results Mate Kisantal Sumant Sharma T. Park Dario Izzo Marcus Märtens Simone DÁmico SSL 91 171 0 05 Nov 2019
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks Jonathan Ephrath Moshe Eliasof Lars Ruthotto E. Haber Eran Treister 61 16 0 29 Oct 2019
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 83 1,037 0 23 Oct 2019
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch Kaiyang Zhou Tao Xiang 61 118 0 22 Oct 2019
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 129 5,577 0 21 Jul 2017
Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks Tom Véniat Ludovic Denoyer 42 21 0 31 May 2017
The Power of Sparsity in Convolutional Neural Networks Soravit Changpinyo Mark Sandler A. Zhmoginov 41 132 0 21 Feb 2017
Dirty Pixels: Towards End-to-End Image Processing and Perception Steven Diamond Vincent Sitzmann Frank D. Julca-Aguilar Stephen P. Boyd Gordon Wetzstein Felix Heide 68 51 0 23 Jan 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 151 3,676 0 31 Aug 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 78 5,627 0 20 May 2016
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 157 14,703 0 20 Jun 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 254 7,883 0 13 Jun 2012