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Early Explorations of Lightweight Models for Wound Segmentation on
  Mobile Devices

Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices

10 July 2024
Vanessa Borst
Timo Dittus
Konstantin Müller
Samuel Kounev
ArXivPDFHTML

Papers citing "Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices"

4 / 4 papers shown
Title
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
191
1,212
0
05 Oct 2021
Mobile-Former: Bridging MobileNet and Transformer
Mobile-Former: Bridging MobileNet and Transformer
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
ViT
172
476
0
12 Aug 2021
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
216
2,056
0
07 Jun 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
288
75,800
0
18 May 2015
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