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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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FP8 versus INT8 for efficient deep learning inference M. V. Baalen Andrey Kuzmin Suparna S. Nair Yuwei Ren E. Mahurin ... Sundar Subramanian Sanghyuk Lee Markus Nagel Joseph B. Soriaga Tijmen Blankevoort MQ 79 48 0 31 Mar 2023
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference Rafael Stahl Daniel Mueller-Gritschneder Ulf Schlichtmann 3DV 33 5 0 31 Mar 2023
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer Linfeng Wen Chengying Gao C. Zou 78 36 0 31 Mar 2023
Rethinking Local Perception in Lightweight Vision Transformer Qi Fan Huaibo Huang Jiyang Guan Ran He ViT 84 31 0 31 Mar 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer Xuanyao Chen Zhijian Liu Haotian Tang Li Yi Hang Zhao Song Han ViT 217 48 0 30 Mar 2023
MobileInst: Video Instance Segmentation on the Mobile Renhong Zhang Tianheng Cheng Shusheng Yang Hao Jiang Shuai Zhang ... Xin Li Xiaowen Ying Dashan Gao Wenyu Liu Xinggang Wang 106 7 0 30 Mar 2023
A Tensor-based Convolutional Neural Network for Small Dataset Classification Zhenhua Chen David J. Crandall 62 0 0 29 Mar 2023
InceptionNeXt: When Inception Meets ConvNeXt Weihao Yu Pan Zhou Shuicheng Yan Xinchao Wang 191 142 0 29 Mar 2023
On the Local Cache Update Rules in Streaming Federated Learning Heqiang Wang Jieming Bian Jie Xu 72 6 0 28 Mar 2023
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation Zhuoran Xiong Marihan Amein O. Therrien W. Gross B. Meyer 64 0 0 28 Mar 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels Zifu Wang Teodora Popordanoska J. Bertels Robin Lemmens Matthew B. Blaschko 60 10 0 28 Mar 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 81 12 0 28 Mar 2023
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing Yuval Becker R. Nossek Tomer Peleg 65 1 0 28 Mar 2023
Sequential training of GANs against GAN-classifiers reveals correlated "knowledge gaps" present among independently trained GAN instances Arkanath Pathak Nick Dufour 66 1 0 27 Mar 2023
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications Abdelrahman M. Shaker Muhammad Maaz H. Rasheed Salman Khan Ming-Hsuan Yang Fahad Shahbaz Khan ViT 157 98 0 27 Mar 2023
Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning Man Liu Feng Li Chunjie Zhang Yunchao Wei H. Bai Yao-Min Zhao 90 41 0 27 Mar 2023
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 72 29 0 27 Mar 2023
Improving the Transferability of Adversarial Examples via Direction Tuning Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 75 14 0 27 Mar 2023
Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters Zhipeng Fan Yao Wang 3DH 78 0 0 26 Mar 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection Kuniaki Saito Donghyun Kim Piotr Teterwak Rogerio Feris Kate Saenko 83 1 0 26 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 112 146 0 25 Mar 2023
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images Bowei Du Yecheng Huang Jiaxin Chen Di Huang 81 73 0 25 Mar 2023
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization Pavan Kumar Anasosalu Vasu J. Gabriel Jeff J. Zhu Oncel Tuzel Anurag Ranjan ViT 115 168 0 24 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 175 35 0 24 Mar 2023
Factorizers for Distributed Sparse Block Codes Michael Hersche Aleksandar Terzić G. Karunaratne Jovin Langenegger Angeline Pouget G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 112 4 0 24 Mar 2023
Physically Adversarial Infrared Patches with Learnable Shapes and Locations Xingxing Wei Jie Yu Yao Huang AAML 82 41 0 24 Mar 2023
Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan MQ 80 21 0 24 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 89 11 0 23 Mar 2023
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels Zhendong Yang Ailing Zeng Zhe Li Tianke Zhang Chun Yuan Yu Li 115 80 0 23 Mar 2023
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance Zhihang Yuan Jiawei Liu Jiaxiang Wu Dawei Yang Qiang Wu Guangyu Sun Wenyu Liu Xinggang Wang Bingzhe Wu MQ 77 7 0 23 Mar 2023
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems Jemin Lee Yongin Kwon Sihyeong Park Misun Yu Jeman Park Hwanjun Song ViT MQ 83 6 0 22 Mar 2023
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications Luigi Capogrosso Federico Cunico M. Lora Marco Cristani Franco Fummi D. Quaglia MoE 56 5 0 22 Mar 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective Yuexiao Ma Huixia Li Xiawu Zheng Xuefeng Xiao Rui Wang Shilei Wen Xin Pan Yong Li Rongrong Ji MQ 66 12 0 21 Mar 2023
Protective Self-Adaptive Pruning to Better Compress DNNs Liang Li Pengfei Zhao AAML 55 0 0 21 Mar 2023
Manipulating Transfer Learning for Property Inference Yulong Tian Fnu Suya Anshuman Suri Fengyuan Xu David Evans AAML 81 6 0 21 Mar 2023
Learning Context-aware Classifier for Semantic Segmentation Zhuotao Tian Jiequan Cui Li Jiang Xiaojuan Qi Xin Lai Yixin Chen Shu Liu Jiaya Jia 131 24 0 21 Mar 2023
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation Yuzheng Wang Zhaoyu Chen Dingkang Yang Pinxue Guo Kaixun Jiang Wenqiang Zhang Lizhe Qi AAML 67 6 0 21 Mar 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Vithursan Thangarasa Shreyas Saxena Abhay Gupta Sean Lie 114 5 0 21 Mar 2023
Attribute-preserving Face Dataset Anonymization via Latent Code Optimization Simone Barattin Christos Tzelepis Ioannis Patras N. Sebe PICV CVBM 105 45 0 20 Mar 2023
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation Li Li Hubert P. H. Shum T. Breckon 78 33 0 20 Mar 2023
Understanding the Role of the Projector in Knowledge Distillation Roy Miles K. Mikolajczyk 115 25 0 20 Mar 2023
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography Hao Sun Yilong Zhang Peng Chen Haixia Wang Ronghua Liang 109 4 0 20 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation Shuai Wang Daoan Zhang Zipei Yan Jiang Zhang Ruizhen Li TTA OOD 90 47 0 20 Mar 2023
Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage Bonaventure F. P. Dossou Yeno K. S. Gbenou Miglanche Ghomsi Nono 57 2 0 19 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 119 37 0 19 Mar 2023
ExplainFix: Explainable Spatially Fixed Deep Networks Alex Gaudio Christos Faloutsos A. Smailagic P. Costa A. Campilho FAtt 73 3 0 18 Mar 2023
Towards Diverse Binary Segmentation via A Simple yet General Gated Network Xiaoqi Zhao Youwei Pang Lihe Zhang Huchuan Lu Lei Zhang 102 15 0 18 Mar 2023
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image Ziyu Wu Quan Wan Mingjie Zhao Yi Ke Yiran Fang Zhen Liang Fangting Xie Jingyuan Cheng 3DH 53 6 0 17 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 61 0 0 17 Mar 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 126 55 0 17 Mar 2023