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1M parameters are enough? A lightweight CNN-based model for medical
  image segmentation

1M parameters are enough? A lightweight CNN-based model for medical image segmentation

28 June 2023
Binh-Duong Dinh
Thanh-Thu Nguyen
Thi-Thao Tran
Van-Truong Pham
    SSeg
    MedIm
ArXivPDFHTML

Papers citing "1M parameters are enough? A lightweight CNN-based model for medical image segmentation"

10 / 10 papers shown
Title
MambaU-Lite: A Lightweight Model based on Mamba and Integrated
  Channel-Spatial Attention for Skin Lesion Segmentation
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation
Thi-Nhu-Quynh Nguyen
Quang-Huy Ho
Duy-Thai Nguyen
Hoang-Minh-Quang Le
Van-Truong Pham
Thi-Thao Tran
Mamba
66
1
0
02 Dec 2024
DreamMapping: High-Fidelity Text-to-3D Generation via Variational
  Distribution Mapping
DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping
Zeyu Cai
D. B. Wang
Yixun Liang
Zhijing Shao
Ying-Cong Chen
Xiaohang Zhan
Z. Wang
DiffM
3DGS
26
1
0
08 Sep 2024
The First Competition on Resource-Limited Infrared Small Target
  Detection Challenge: Methods and Results
The First Competition on Resource-Limited Infrared Small Target Detection Challenge: Methods and Results
Boyang Li
Xinyi Ying
Ruojing Li
Yongxian Liu
Yangsi Shi
Miao Li
29
1
0
18 Aug 2024
LU2Net: A Lightweight Network for Real-time Underwater Image Enhancement
LU2Net: A Lightweight Network for Real-time Underwater Image Enhancement
Haodong Yang
Jisheng Xu
Zhiliang Lin
Jianping He
38
0
0
21 Jun 2024
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Ngoc-Du Tran
Thi-Thao Tran
Quang-Huy Nguyen
Manh-Hung Vu
Van-Truong Pham
MedIm
ViT
33
1
0
04 Apr 2024
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
214
400
0
24 Jan 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,600
0
04 May 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,604
0
24 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,304
0
07 Oct 2016
1