ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • 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. 1801.04381
  4. Cited By
MobileNetV2: Inverted Residuals and Linear Bottlenecks
v1v2v3v4 (latest)

MobileNetV2: Inverted Residuals and Linear Bottlenecks

13 January 2018
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
ArXiv (abs)PDFHTML

Papers citing "MobileNetV2: Inverted Residuals and Linear Bottlenecks"

50 / 4,696 papers shown
Title
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel
  Representation
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
Zhe Chen
Jiahao Wang
Wenhai Wang
Guo Chen
Enze Xie
Ping Luo
Tong Lu
ObjD
77
10
0
03 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification
  Architecture based on Recurrent Downsampled Attention
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
S. Tan
Runpei Dong
Kaisheng Ma
83
2
0
03 Nov 2021
Low-Rank+Sparse Tensor Compression for Neural Networks
Low-Rank+Sparse Tensor Compression for Neural Networks
Cole Hawkins
Haichuan Yang
Meng Li
Liangzhen Lai
Vikas Chandra
65
3
0
02 Nov 2021
Relational Self-Attention: What's Missing in Attention for Video
  Understanding
Relational Self-Attention: What's Missing in Attention for Video Understanding
Manjin Kim
Heeseung Kwon
Chunyu Wang
Suha Kwak
Minsu Cho
ViT
88
29
0
02 Nov 2021
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Bingqian Lu
Jianyi Yang
Weiwen Jiang
Yiyu Shi
Shaolei Ren
90
24
0
01 Nov 2021
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based
  Repeated Bit Flip Attack
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
Dahoon Park
K. Kwon
Sunghoon Im
Jaeha Kung
AAML
55
3
0
01 Nov 2021
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on
  Smartphone Environment
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
I. Prakash
Aniruddh Bansal
Rohit Verma
R. Shorey
88
8
0
01 Nov 2021
RMNet: Equivalently Removing Residual Connection from Networks
RMNet: Equivalently Removing Residual Connection from Networks
Fanxu Meng
Hao Cheng
Jia-Xin Zhuang
Ke Li
Xing Sun
55
11
0
01 Nov 2021
Learning Pruned Structure and Weights Simultaneously from Scratch: an
  Attention based Approach
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
Qisheng He
Weisong Shi
Ming Dong
73
3
0
01 Nov 2021
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight
  Self-Attention
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention
Huiming Shi
Quan Zhou
Yinghao Ni
Xiaofu Wu
Longin Jan Latecki
ObjD
62
8
0
31 Oct 2021
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise
  Mixed Schemes and Multiple Precisions
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions
Sung-En Chang
Yanyu Li
Mengshu Sun
Weiwen Jiang
Sijia Liu
Yanzhi Wang
Xue Lin
MQ
72
11
0
30 Oct 2021
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
109
161
0
28 Oct 2021
LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray
  Image
LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image
Moyun Liu
Youping Chen
Lei He
Yang Zhang
Jingming Xie
78
80
0
28 Oct 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust
  and Efficient Neural Networks
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk
Naresh R Shanbhag
AAML
65
7
0
28 Oct 2021
Detecting Dementia from Speech and Transcripts using Transformers
Detecting Dementia from Speech and Transcripts using Transformers
Loukas Ilias
D. Askounis
J. Psarras
87
37
0
27 Oct 2021
GenURL: A General Framework for Unsupervised Representation Learning
GenURL: A General Framework for Unsupervised Representation Learning
Siyuan Li
Zicheng Liu
Z. Zang
Di Wu
Zhiyuan Chen
Stan Z. Li
OOD3DGSOffRL
136
9
0
27 Oct 2021
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient
  Classification Combining Contrastive Learning, Information Fusion and
  Generative Adversarial Networks
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks
Jie Wei
Zhigang Zhu
Erik P. Blasch
Bilal Abdulrahman
Billy Davila
Shuoxin Liu
Jed Magracia
Ling Fang
33
2
0
27 Oct 2021
Revisiting Discriminator in GAN Compression: A Generator-discriminator
  Cooperative Compression Scheme
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Shaojie Li
Jie Wu
Xuefeng Xiao
Yong Li
Xudong Mao
Rongrong Ji
104
37
0
27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh
Touba Malekzadeh
Ngai-Man Cheung
67
29
0
27 Oct 2021
Revisiting Batch Norm Initialization
Revisiting Batch Norm Initialization
Jim Davis
Logan Frank
74
4
0
26 Oct 2021
HR-RCNN: Hierarchical Relational Reasoning for Object Detection
HR-RCNN: Hierarchical Relational Reasoning for Object Detection
Hao Chen
Abhinav Shrivastava
66
1
0
26 Oct 2021
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
Prakhar Ganesh
Yao Chen
Yin Yang
Deming Chen
Marianne Winslett
ObjD3DH
80
37
0
26 Oct 2021
Exponential Graph is Provably Efficient for Decentralized Deep Training
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying
Kun Yuan
Yiming Chen
Hanbin Hu
Pan Pan
W. Yin
FedML
119
89
0
26 Oct 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in Science
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
98
72
0
25 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations
Reconstructing Pruned Filters using Cheap Spatial Transformations
Roy Miles
K. Mikolajczyk
83
0
0
25 Oct 2021
Instance-Conditional Knowledge Distillation for Object Detection
Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang
Peizhen Zhang
Xinming Zhang
Jian Sun
N. Zheng
107
79
0
25 Oct 2021
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary
  Tasks
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
Seungbum Hong
Jihun Yoon
Junmo Kim
Min-Kook Choi
SSL
28
1
0
25 Oct 2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu
Baopu Li
Zhen Chen
Yixuan Yuan
FAtt
49
9
0
24 Oct 2021
NAS-FCOS: Efficient Search for Object Detection Architectures
NAS-FCOS: Efficient Search for Object Detection Architectures
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
127
19
0
24 Oct 2021
BINAS: Bilinear Interpretable Neural Architecture Search
BINAS: Bilinear Interpretable Neural Architecture Search
Niv Nayman
Y. Aflalo
M. Trosset
Rong Jin
Lihi Zelnik-Manor
72
2
0
24 Oct 2021
Scalable Smartphone Cluster for Deep Learning
Scalable Smartphone Cluster for Deep Learning
Payam Abdisarabshali
Jaehee Jang
Nicholas Accurso
Seijoon Kim
Filippo Malandra
Moon Sik Jeong
Kwang Choon Kim
Seon Heo
Yoon-Ji Kim
Sungroh Yoon
35
4
0
23 Oct 2021
How and When Adversarial Robustness Transfers in Knowledge Distillation?
How and When Adversarial Robustness Transfers in Knowledge Distillation?
Rulin Shao
Ming Zhou
Cor-Paul Bezemer
Cho-Jui Hsieh
AAML
79
19
0
22 Oct 2021
Recurrence along Depth: Deep Convolutional Neural Networks with
  Recurrent Layer Aggregation
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Jingyu Zhao
Yanwen Fang
Guodong Li
74
24
0
22 Oct 2021
UBR$^2$S: Uncertainty-Based Resampling and Reweighting Strategy for
  Unsupervised Domain Adaptation
UBR2^22S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
Tobias Ringwald
Rainer Stiefelhagen
61
0
0
22 Oct 2021
Spoofing Detection on Hand Images Using Quality Assessment
Spoofing Detection on Hand Images Using Quality Assessment
Asish Bera
Ratnadeep Dey
D. Bhattacharjee
M. Nasipuri
Alessandro Morari
65
4
0
22 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight
  Architectures
Self-Supervised Visual Representation Learning Using Lightweight Architectures
Prathamesh Sonawane
Sparsh Drolia
Saqib Nizam Shamsi
Bhargav Jain
SSL
59
1
0
21 Oct 2021
2020 CATARACTS Semantic Segmentation Challenge
2020 CATARACTS Semantic Segmentation Challenge
Imanol Luengo
M. Grammatikopoulou
R. Mohammadi
Chris Walsh
C. Nwoye
...
Jianyuan Hong
Haili Ye
F. Huang
Da-han Wang
Danail Stoyanov
3DPC
87
9
0
21 Oct 2021
Evolving Transferable Neural Pruning Functions
Evolving Transferable Neural Pruning Functions
Yuchen Liu
S. Kung
D. Wentzlaff
67
1
0
21 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
61
1
0
21 Oct 2021
A Data-Centric Optimization Framework for Machine Learning
A Data-Centric Optimization Framework for Machine Learning
Oliver Rausch
Tal Ben-Nun
Nikoli Dryden
Andrei Ivanov
Shigang Li
Torsten Hoefler
AI4CE
63
16
0
20 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training
  Methods
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes
Yann N. Dauphin
E. D. Cubuk
103
65
0
20 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
53
4
0
20 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Aviral Kumar
Amir Yazdanbakhsh
Milad Hashemi
Kevin Swersky
Sergey Levine
113
38
0
20 Oct 2021
ESOD:Edge-based Task Scheduling for Object Detection
ESOD:Edge-based Task Scheduling for Object Detection
Yihao Wang
Ling Gao
Jie Ren
Rui Cao
Hai Wang
Jie Zheng
Quanli Gao
34
0
0
20 Oct 2021
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point
  Cloud Representation Learning
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian
Hasan Hammoud
Guohao Li
Ali K. Thabet
Guohao Li
3DPC
131
76
0
20 Oct 2021
Classification of PS and ABS Black Plastics for WEEE Recycling
  Applications
Classification of PS and ABS Black Plastics for WEEE Recycling Applications
A. Persson
Xiaoning Du
Mingze Ni
25
1
0
20 Oct 2021
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction
  in Autonomous Driving
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
Jianbang Liu
Xinyu Mao
Yuqi Fang
Delong Zhu
Max Meng
81
59
0
20 Oct 2021
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Lin Wang
Kuk-Jin Yoon
84
89
0
20 Oct 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by
  Generating Multiple Instances of Training Examples
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
Amin Banitalebi-Dehkordi
Yong Zhang
74
7
0
20 Oct 2021
EBJR: Energy-Based Joint Reasoning for Adaptive Inference
EBJR: Energy-Based Joint Reasoning for Adaptive Inference
Mohammad Akbari
Amin Banitalebi-Dehkordi
Yong Zhang
BDLMQ
87
7
0
20 Oct 2021
Previous
123...575859...929394
Next