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A Simple Adaptive Unfolding Network for Hyperspectral Image
  Reconstruction

A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction

24 January 2023
Junyu Wang
Shijie Wang
Wenyu Liu
Zengqiang Zheng
Xinggang Wang
ArXivPDFHTML

Papers citing "A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction"

6 / 6 papers shown
Title
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Qibin Hou
Cheng Lu
Mingg-Ming Cheng
Jiashi Feng
ViT
69
131
0
22 Nov 2022
Focal Modulation Networks
Focal Modulation Networks
Jianwei Yang
Chunyuan Li
Xiyang Dai
Lu Yuan
Jianfeng Gao
3DPC
66
271
0
22 Mar 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding
Xinming Zhang
Yi Zhou
Jungong Han
Guiguang Ding
Jian Sun
VLM
103
536
0
13 Mar 2022
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image
  Reconstruction
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Yuanhao Cai
Jing Lin
Xiaowan Hu
Haoqian Wang
X. Yuan
Yulun Zhang
Radu Timofte
Luc Van Gool
45
247
0
15 Nov 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
230
489
0
01 Oct 2021
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
84
1,012
0
22 Dec 2019
1