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Rethinking Depthwise Separable Convolutions: How Intra-Kernel
  Correlations Lead to Improved MobileNets

Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets

30 March 2020
D. Haase
Manuel Amthor
ArXivPDFHTML

Papers citing "Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets"

14 / 14 papers shown
Title
MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights
MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights
Van Thien Nguyen
William Guicquero
Gilles Sicard
MQ
75
1
0
17 Jan 2025
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
44
44
0
23 Feb 2024
Coloring Deep CNN Layers with Activation Hue Loss
Coloring Deep CNN Layers with Activation Hue Loss
Louis-Franccois Bouchard
Mohsen Ben Lazreg
Matthew Toews
LLMSV
20
0
0
05 Oct 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Kunlin Wang
Zi Wang
Zhang Li
Ang Su
Xichao Teng
Minhao Liu
Qifeng Yu
Qifeng Yu
ObjD
89
8
0
21 Feb 2023
Tech Report: One-stage Lightweight Object Detectors
Tech Report: One-stage Lightweight Object Detectors
Deokki Hong
ObjD
18
0
0
31 Oct 2022
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric
  Photonic Device Simulation
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Jiaqi Gu
Zhengqi Gao
Chenghao Feng
Hanqing Zhu
Ray T. Chen
Duane S. Boning
D. Pan
19
16
0
19 Sep 2022
Fully trainable Gaussian derivative convolutional layer
Fully trainable Gaussian derivative convolutional layer
Valentin Penaud-Polge
Santiago Velasco-Forero
Jesús Angulo
19
9
0
18 Jul 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
Louis-Franccois Bouchard
Mohsen Ben Lazreg
Matthew Toews
19
0
0
05 Jun 2022
Blueprint Separable Residual Network for Efficient Image
  Super-Resolution
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Zheyu Li
Yingqi Liu
Xiangyu Chen
Haoming Cai
Jinjin Gu
Yu Qiao
Chao Dong
27
131
0
12 May 2022
Quality Assessment of Low Light Restored Images: A Subjective Study and
  an Unsupervised Model
Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model
V. Kannan
Sameer Malik
R. Soundararajan
OffRL
16
3
0
04 Feb 2022
Nanopore Base Calling on the Edge
Nanopore Base Calling on the Edge
Peter Perešíni
V. Boža
Broňa Brejová
T. Vinař
13
38
0
09 Nov 2020
Multi-Graph Transformer for Free-Hand Sketch Recognition
Multi-Graph Transformer for Free-Hand Sketch Recognition
Peng-Tao Xu
Chaitanya K. Joshi
Xavier Bresson
ViT
17
85
0
24 Dec 2019
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
319
1,049
0
10 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
269
5,326
0
05 Nov 2016
1