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FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder
  Architectures

FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures

18 July 2024
Hao Lu
Wenze Liu
Hongtao Fu
Zhiguo Cao
ArXivPDFHTML

Papers citing "FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures"

9 / 9 papers shown
Title
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
Hao Lu
Wenze Liu
Zixuan Ye
Hongtao Fu
Yuliang Liu
Zhiguo Cao
3DPC
30
31
0
26 Sep 2022
SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow
SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow
Xiangtai Li
Jiangning Zhang
Yibo Yang
Guangliang Cheng
Kuiyuan Yang
Yu Tong
Dacheng Tao
SSeg
AI4TS
52
28
0
10 Jul 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
3D Ken Burns Effect from a Single Image
3D Ken Burns Effect from a Single Image
Simon Niklaus
Long Mai
Jimei Yang
Feng Liu
VGen
192
206
0
12 Sep 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
195
3,531
0
20 Aug 2019
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
183
21,819
0
09 Dec 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,176
0
16 Sep 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
306
75,834
0
18 May 2015
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