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Xception: Deep Learning with Depthwise Separable Convolutions

Xception: Deep Learning with Depthwise Separable Convolutions

7 October 2016
François Chollet
    MDE
    BDL
    PINN
ArXivPDFHTML

Papers citing "Xception: Deep Learning with Depthwise Separable Convolutions"

50 / 2,479 papers shown
Title
Cellular Segmentation and Composition in Routine Histology Images using
  Deep Learning
Cellular Segmentation and Composition in Routine Histology Images using Deep Learning
Muhammad Dawood
R. M. S. Bashir
Srijay Deshpande
M. Raza
A. Shephard
24
0
0
04 Mar 2022
HDNet: High-resolution Dual-domain Learning for Spectral Compressive
  Imaging
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
Xiaowan Hu
Yuanhao Cai
Jing Lin
Haoqian Wang
X. Yuan
Yulun Zhang
Radu Timofte
Luc Van Gool
37
134
0
04 Mar 2022
Towards Benchmarking and Evaluating Deepfake Detection
Towards Benchmarking and Evaluating Deepfake Detection
Chenhao Lin
Jingyi Deng
Peng Hu
Chao Shen
Qianqian Wang
Qi Li
37
13
0
04 Mar 2022
ROCT-Net: A new ensemble deep convolutional model with improved spatial
  resolution learning for detecting common diseases from retinal OCT images
ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images
Mohammad Rahimzadeh
M. Mohammadi
17
10
0
03 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for
  Convolutional Neural Networks
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi
Mona Ashtari-Majlan
Gereziher W. Adhane
David Masip
AAML
FAtt
21
3
0
02 Mar 2022
A Method Based on Deep Learning for the Detection and Characterization
  of Cybersecurity Incidents in Internet of Things Devices
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices
Jhon Alexánder Parra
S. Gutiérrez
J. Branch
29
2
0
01 Mar 2022
A Data-scalable Transformer for Medical Image Segmentation:
  Architecture, Model Efficiency, and Benchmark
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
Yunhe Gao
Mu Zhou
Ding Liu
Zhennan Yan
Shaoting Zhang
Dimitris N. Metaxas
ViT
MedIm
30
68
0
28 Feb 2022
Raman Spectrum Matching with Contrastive Representation Learning
Raman Spectrum Matching with Contrastive Representation Learning
Yue Liu
Mikkel N. Schmidt
T. S. Alstrøm
31
10
0
25 Feb 2022
On Monocular Depth Estimation and Uncertainty Quantification using
  Classification Approaches for Regression
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
Xuanlong Yu
Gianni Franchi
Emanuel Aldea
UQCV
40
2
0
24 Feb 2022
Time Efficient Training of Progressive Generative Adversarial Network
  using Depthwise Separable Convolution and Super Resolution Generative
  Adversarial Network
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network
Atharva Karwande
Pranesh Shridhar Kulkarni
Tejas Kolhe
Akshay Joshi
S. Kamble
GAN
22
2
0
24 Feb 2022
BERTVision -- A Parameter-Efficient Approach for Question Answering
BERTVision -- A Parameter-Efficient Approach for Question Answering
Siduo Jiang
Cristopher Benge
Will King
21
1
0
24 Feb 2022
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human
  Decomposition Images
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images
Sara Mousavi
Zhen Yang
Kelley Cross
D. Steadman
A. Mockus
21
0
0
24 Feb 2022
Deep Learning Reproducibility and Explainable AI (XAI)
Deep Learning Reproducibility and Explainable AI (XAI)
Anastasia-Maria Leventi-Peetz
T. Östreich
19
9
0
23 Feb 2022
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion
  Network for Action Recognition
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Xiaoguang Zhu
Ye Zhu
Haoyu Wang
Honglin Wen
Yan Yan
Peilin Liu
35
25
0
23 Feb 2022
Deepfake Detection for Facial Images with Facemasks
D. Ko
Sangjun Lee
Jin-Yeol Park
Saebyeol Shin
Do-Soon Hong
Simon S. Woo
CVBM
37
7
0
23 Feb 2022
Bag of Visual Words (BoVW) with Deep Features -- Patch Classification
  Model for Limited Dataset of Breast Tumours
Bag of Visual Words (BoVW) with Deep Features -- Patch Classification Model for Limited Dataset of Breast Tumours
S. Tripathi
S. Singh
H. Lee
42
6
0
22 Feb 2022
End-to-End High Accuracy License Plate Recognition Based on Depthwise
  Separable Convolution Networks
End-to-End High Accuracy License Plate Recognition Based on Depthwise Separable Convolution Networks
Song Wang
Hong-Yang Shih
Zhengyang Shen
Wenxin Tai
3DV
19
1
0
21 Feb 2022
Distortion-Aware Loop Filtering of Intra 360^o Video Coding with
  Equirectangular Projection
Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection
Pingping Zhang
Xu Wang
Linwei Zhu
Yun Zhang
Shiqi Wang
Sam Kwong
29
0
0
20 Feb 2022
HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks
Yu Xue
Zi-Wei Yuan
25
0
0
19 Feb 2022
DeepTx: Deep Learning Beamforming with Channel Prediction
DeepTx: Deep Learning Beamforming with Channel Prediction
Janne M. J. Huttunen
D. Korpi
Mikko Honkala
35
13
0
16 Feb 2022
Knowledge Distillation with Deep Supervision
Knowledge Distillation with Deep Supervision
Shiya Luo
Defang Chen
Can Wang
26
1
0
16 Feb 2022
Using Social Media Images for Building Function Classification
Using Social Media Images for Building Function Classification
E. J. Hoffmann
Karam Abdulahhad
Xiao Xiang Zhu
29
26
0
15 Feb 2022
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on
  Spread-Spectrum Channel Coding
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding
Giulio Pagnotta
Dorjan Hitaj
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
35
5
0
12 Feb 2022
Fuzzy Pooling
Fuzzy Pooling
Dimitrios E. Diamantis
D. Iakovidis
19
19
0
12 Feb 2022
Compute Trends Across Three Eras of Machine Learning
Compute Trends Across Three Eras of Machine Learning
J. Sevilla
Lennart Heim
A. Ho
T. Besiroglu
Marius Hobbhahn
Pablo Villalobos
39
272
0
11 Feb 2022
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal
  data improve recognition?
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?
Arnaud Huaulmé
Kanako Harada
Quang-Minh Nguyen
Bogyu Park
Seungbum Hong
...
Yuto Ishikawa
Yuriko Harai
Satoshi Kondo
M. Mitsuishi
Pierre Jannin
32
9
0
11 Feb 2022
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks
Yimin Yang
S. Mehrkanoon
ViT
AI4TS
39
41
0
10 Feb 2022
Audio-Based Deep Learning Frameworks for Detecting COVID-19
Audio-Based Deep Learning Frameworks for Detecting COVID-19
Dat Ngo
L. D. Pham
Hoang Van Truong
Ş. Kolozali
D. Jarchi
50
4
0
10 Feb 2022
CAU_KU team's submission to ADD 2022 Challenge task 1: Low-quality fake
  audio detection through frequency feature masking
CAU_KU team's submission to ADD 2022 Challenge task 1: Low-quality fake audio detection through frequency feature masking
Il-Youp Kwak
Sunmook Choi
Jong-Yeol Yang
Yerin Lee
Seungsang Oh
33
6
0
09 Feb 2022
A Novel Plug-in Module for Fine-Grained Visual Classification
A Novel Plug-in Module for Fine-Grained Visual Classification
Po-Yung Chou
Chu-Hsing Lin
W. Kao
31
41
0
08 Feb 2022
Maximizing Audio Event Detection Model Performance on Small Datasets
  Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation
  Study
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study
Daniel C. Tompkins
Kshitiz Kumar
Jian Wu
22
5
0
07 Feb 2022
HERMES: Hybrid Error-corrector Model with inclusion of External Signals
  for nonstationary fashion time series
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series
Etienne David
Jean Bellot
Sylvain Le Corff
33
1
0
07 Feb 2022
Block shuffling learning for Deepfake Detection
Block shuffling learning for Deepfake Detection
Sitong Liu
Z. Lian
Siqi Gu
Liang Xiao
AAML
41
8
0
06 Feb 2022
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Tianyu Ma
Alan Q. Wang
Adrian Dalca
M. Sabuncu
SSL
41
1
0
06 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
48
4
0
04 Feb 2022
Heed the Noise in Performance Evaluations in Neural Architecture Search
Heed the Noise in Performance Evaluations in Neural Architecture Search
A. Dushatskiy
Tanja Alderliesten
Peter A. N. Bosman
21
1
0
04 Feb 2022
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical
  Image Segmentation
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu
Zhicheng Ma
Nana He
Wenting Duan
SSeg
OOD
58
229
0
02 Feb 2022
On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array
Yanan Liu
Laurie Bose
Yao Lu
Piotr Dudek
Walterio W. Mayol-Cuevas
16
0
0
02 Feb 2022
Aggregating Global Features into Local Vision Transformer
Aggregating Global Features into Local Vision Transformer
Krushi Patel
A. Bur
Fengju Li
Guanghui Wang
ViT
35
34
0
30 Jan 2022
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based
  Multi-Modal Fact-Checking
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking
Abhishek Dhankar
Osmar R. Zaïane
Francois Bolduc
11
1
0
28 Jan 2022
Label uncertainty-guided multi-stream model for disease screening
Label uncertainty-guided multi-stream model for disease screening
Chi Liu
Z. Ge
M. He
Xiaotong Han
34
2
0
28 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
47
27
0
28 Jan 2022
A Transfer Learning and Optimized CNN Based Intrusion Detection System
  for Internet of Vehicles
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
Li Yang
Abdallah Shami
79
67
0
27 Jan 2022
An Analysis on Ensemble Learning optimized Medical Image Classification
  with Deep Convolutional Neural Networks
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
Dominik Muller
Iñaki Soto Rey
Frank Kramer
34
56
0
27 Jan 2022
DiriNet: A network to estimate the spatial and spectral degradation
  functions
DiriNet: A network to estimate the spatial and spectral degradation functions
Ting Hu
9
0
0
27 Jan 2022
RTNet: Relation Transformer Network for Diabetic Retinopathy
  Multi-lesion Segmentation
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation
Shiqi Huang
Jianan Li
Yuze Xiao
Ning Shen
Tingfa Xu
ViT
MedIm
25
117
0
26 Jan 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViT
LM&MA
MedIm
111
663
0
24 Jan 2022
Wavelet-Attention CNN for Image Classification
Wavelet-Attention CNN for Image Classification
Xiangyun Zhao
OOD
44
62
0
23 Jan 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning
Learning to Predict Gradients for Semi-Supervised Continual Learning
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
SSL
CLL
49
6
0
23 Jan 2022
Dual-Flattening Transformers through Decomposed Row and Column Queries
  for Semantic Segmentation
Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation
Ying Wang
C. Ho
Wenju Xu
Ziwei Xuan
Xudong Liu
Guo-Jun Qi
ViT
28
5
0
22 Jan 2022
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