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Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains

Depthwise Convolution is All You Need for Learning Multiple Visual Domains

3 February 2019
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
    OOD
ArXivPDFHTML

Papers citing "Depthwise Convolution is All You Need for Learning Multiple Visual Domains"

38 / 38 papers shown
Title
WhACC: Whisker Automatic Contact Classifier with Expert Human-Level Performance
WhACC: Whisker Automatic Contact Classifier with Expert Human-Level Performance
Phillip Maire
Samson G. King
Jonathan Andrew Cheung
Stefanie Walker
Samuel Andrew Hires
46
0
0
06 Jan 2025
AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray
  Images
AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
Omar Hesham Khater
Abdullahi Sani Shuaib
Sami Ul Haq
Abdul Jabbar Siddiqui
20
0
0
20 Oct 2024
EfficientCrackNet: A Lightweight Model for Crack Segmentation
EfficientCrackNet: A Lightweight Model for Crack Segmentation
Abid Hasan Zim
Aquib Iqbal
Zaid Al-Huda
Asad U. Malik
Minoru Kuribayash
26
1
0
26 Sep 2024
Adapters Strike Back
Adapters Strike Back
Jan-Martin O. Steitz
Stefan Roth
35
5
0
10 Jun 2024
MambaMixer: Efficient Selective State Space Models with Dual Token and
  Channel Selection
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
Ali Behrouz
Michele Santacatterina
Ramin Zabih
50
31
0
29 Mar 2024
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm:
  A Bibliometric and Systematic Literature Review
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review
Chetan M. Badgujar
Alwin Poulose
Hao Gan
52
7
0
18 Jan 2024
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale
  Residual Connections for Medical Image Segmentation
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation
Tariq Mahmood Khan
Syed S. Naqvi
Erik H. W. Meijering
34
6
0
17 Dec 2023
Tiny and Efficient Model for the Edge Detection Generalization
Tiny and Efficient Model for the Edge Detection Generalization
Xavier Soria Poma
Yachuan Li
Mohammad Rouhani
A. Sappa
VLM
18
26
0
12 Aug 2023
Multi-Domain Learning with Modulation Adapters
Multi-Domain Learning with Modulation Adapters
E. Iakovleva
Alahari Karteek
Jakob Verbeek
30
1
0
17 Jul 2023
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar
  Imaging
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging
Christos Vasileiou
Josiah W. Smith
Shiva Thiagarajan
Matthew Nigh
Yiorgos Makris
Murat Torlak
29
12
0
03 May 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized
  Neural Networks
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Ferheen Ayaz
Idris Zakariyya
José Cano
S. Keoh
Jeremy Singer
D. Pau
Mounia Kharbouche-Harrari
19
5
0
25 Apr 2023
Multi-domain learning CNN model for microscopy image classification
Multi-domain learning CNN model for microscopy image classification
Duc Hoa Tran
Michel Meunier
Farida Cheriet
12
0
0
20 Apr 2023
A Study on the Generality of Neural Network Structures for Monocular
  Depth Estimation
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
Ji-Hoon Bae
K. Hwang
Sunghoon Im
MDE
32
7
0
09 Jan 2023
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical
  Transformer for Medical Image Segmentation
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
OOD
MedIm
59
133
0
29 Sep 2022
Multi-domain Learning for Updating Face Anti-spoofing Models
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo
Yaojie Liu
Anil Jain
Xiaoming Liu
CLL
CVBM
27
30
0
23 Aug 2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for
  ConvNets
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
Hao Chen
R. Tao
Han Zhang
Yidong Wang
Xiang Li
Weirong Ye
Jindong Wang
Guosheng Hu
Marios Savvides
VPVLM
32
53
0
15 Aug 2022
Fast Object Placement Assessment
Fast Object Placement Assessment
Li Niu
Qingyang Liu
Zhenchen Liu
Jiangtong Li
21
14
0
28 May 2022
Visualizing CoAtNet Predictions for Aiding Melanoma Detection
Visualizing CoAtNet Predictions for Aiding Melanoma Detection
Daniel Kvak
MedIm
25
2
0
21 May 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
SSL
ViT
43
7
0
16 Mar 2022
Benchmarking of DL Libraries and Models on Mobile Devices
Benchmarking of DL Libraries and Models on Mobile Devices
Qiyang Zhang
Xiang Li
Xiangying Che
Xiao Ma
Ao Zhou
Mengwei Xu
Shangguang Wang
Yun Ma
Xuanzhe Liu
25
48
0
14 Feb 2022
EffCNet: An Efficient CondenseNet for Image Classification on NXP
  BlueBox
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox
Priyank Kalgaonkar
M. El-Sharkawy
18
0
0
28 Nov 2021
INTERN: A New Learning Paradigm Towards General Vision
INTERN: A New Learning Paradigm Towards General Vision
Jing Shao
Siyu Chen
Yangguang Li
Kun Wang
Zhen-fei Yin
...
F. Yu
Junjie Yan
Dahua Lin
Xiaogang Wang
Yu Qiao
24
34
0
16 Nov 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
25
32
0
23 Oct 2021
Memory Efficient Adaptive Attention For Multiple Domain Learning
Memory Efficient Adaptive Attention For Multiple Domain Learning
H. P. Aswani
Abhiraj S Kanse
Shubhang Bhatnagar
Amit Sethi
14
1
0
21 Oct 2021
End-to-end Keyword Spotting using Xception-1d
End-to-end Keyword Spotting using Xception-1d
Iván Vallés-Pérez
J. Gómez-Sanchís
M. Martínez-Sober
Joan Vila-Francés
Antonio J. Serrano
E. Soria-Olivas
17
0
0
09 Oct 2021
Disentangling Transfer and Interference in Multi-Domain Learning
Disentangling Transfer and Interference in Multi-Domain Learning
Yipeng Zhang
Tyler L. Hayes
Christopher Kanan
48
3
0
02 Jul 2021
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor
  and Optimal Transport
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin
Dong Zhou
Weiqing Liu
Jiang Bian
AIFin
AI4TS
23
63
0
24 Jun 2021
Convolutional Normalization
Convolutional Normalization
M. Esposito
Nader Ganaba
13
0
0
19 Feb 2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object
  Detection
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Keren Ye
Adriana Kovashka
Mark Sandler
Menglong Zhu
Andrew G. Howard
Marco Fornoni
AAML
MQ
24
7
0
04 Jan 2021
Lightweight End-to-End Speech Recognition from Raw Audio Data Using
  Sinc-Convolutions
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions
Ludwig Kurzinger
Nicolas Lindae
Palle Klewitz
Gerhard Rigoll
27
5
0
15 Oct 2020
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Yunpeng Chen
Chen Gao
Esther Robb
Jia-Bin Huang
14
47
0
26 Aug 2020
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao
Hao Zeng
Xin Qin
Yongjian Fu
Haibo Wang
Bourahla Omar
Xi Li
25
18
0
24 Jul 2020
SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet
  Architecture
SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture
Kevin Trebing
Tomasz Stanczyk
S. Mehrkanoon
42
325
0
08 Jul 2020
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on
  Systolic Accelerator
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator
N. Jha
Shreyas Ravishankar
Sparsh Mittal
Arvind Kaushik
D. Mandal
M. Chandra
7
8
0
26 Jun 2020
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Yunhui Guo
Yandong Li
Liqiang Wang
Tajana Simunic
35
41
0
21 Nov 2019
3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image
  Segmentation
3D U2^22-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
Chao Huang
Hu Han
Qingsong Yao
Shankuan Zhu
S. Kevin Zhou
OOD
SSeg
29
71
0
04 Sep 2019
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
Y. Yoo
Dongyoon Han
Sangdoo Yun
CVBM
19
43
0
15 Jun 2019
Incremental multi-domain learning with network latent tensor
  factorization
Incremental multi-domain learning with network latent tensor factorization
Adrian Bulat
Jean Kossaifi
Georgios Tzimiropoulos
M. Pantic
CLL
19
34
0
12 Apr 2019
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