ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.13500
  4. Cited By
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
24
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
33
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
283
5,723
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
184
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
190
3,480
0
20 Aug 2019
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
166
21,643
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
183
5,138
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
420
15,438
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
229
74,467
0
18 May 2015
1