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The Devil is in the Decoder: Classification, Regression and GANs

The Devil is in the Decoder: Classification, Regression and GANs

18 July 2017
Z. Wojna
V. Ferrari
S. Guadarrama
N. Silberman
Liang-Chieh Chen
Alireza Fathi
J. Uijlings
ArXivPDFHTML

Papers citing "The Devil is in the Decoder: Classification, Regression and GANs"

21 / 21 papers shown
Title
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling
Minghao Zhou
Hong Wang
Yefeng Zheng
Deyu Meng
31
1
0
02 Jul 2024
Feature Aggregation in Joint Sound Classification and Localization
  Neural Networks
Feature Aggregation in Joint Sound Classification and Localization Neural Networks
Brendan Healy
Patrick McNamee
Z. Nili Ahmadabadi
41
0
0
29 Oct 2023
On Point Affiliation in Feature Upsampling
On Point Affiliation in Feature Upsampling
Wenze Liu
Hao Lu
Yuliang Liu
Zhiguo Cao
3DPC
26
2
0
17 Jul 2023
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
Sascha Kirch
Rafael Pagés
Sergio Arnaldo
S. Martín
GAN
27
2
0
19 Jul 2022
HCFormer: Unified Image Segmentation with Hierarchical Clustering
HCFormer: Unified Image Segmentation with Hierarchical Clustering
Teppei Suzuki
27
0
0
20 May 2022
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for
  Automated Nerve Identification
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification
Baijun Xie
Gary Milam
B. Ning
J. Cha
C. Park
MedIm
33
7
0
27 Feb 2022
Context-Aware Scene Prediction Network (CASPNet)
Context-Aware Scene Prediction Network (CASPNet)
Maximilian Schäfer
Kun-li Zhao
Markus Bühren
A. Kummert
38
9
0
18 Jan 2022
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation
Adrian Galdran
G. Carneiro
M. A. G. Ballester
MedIm
29
27
0
05 Oct 2021
Monocular Depth Estimation Primed by Salient Point Detection and
  Normalized Hessian Loss
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss
Lam Huynh
Matteo Pedone
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
MDE
3DPC
18
3
0
25 Aug 2021
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance
  segmentation platform (Data from the Osteoarthritis Initiative)
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)
B. Felfeliyan
A. Hareendranathan
G. Kuntze
Jacob L. Jaremko
J. Ronsky
30
20
0
27 Jul 2021
ResViT: Residual vision transformers for multi-modal medical image
  synthesis
ResViT: Residual vision transformers for multi-modal medical image synthesis
Onat Dalmaz
Mahmut Yurt
Tolga Çukur
ViT
MedIm
32
338
0
30 Jun 2021
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation
  Losses
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses
Bingyuan Liu
Jose Dolz
Adrian Galdran
Riadh Kobbi
Ismail Ben Ayed
35
15
0
18 Apr 2021
EfficientPose: Efficient Human Pose Estimation with Neural Architecture
  Search
EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
Wenqiang Zhang
Jiemin Fang
Xinggang Wang
Wenyu Liu
3DH
19
46
0
13 Dec 2020
Multi-layer Feature Aggregation for Deep Scene Parsing Models
Multi-layer Feature Aggregation for Deep Scene Parsing Models
Litao Yu
Yongsheng Gao
Jun Zhou
Jian Zhang
Qiang Wu
SSeg
36
1
0
04 Nov 2020
Fixed smooth convolutional layer for avoiding checkerboard artifacts in
  CNNs
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
Yuma Kinoshita
Hitoshi Kiya
28
19
0
06 Feb 2020
Neural Architecture Search for Deep Image Prior
Neural Architecture Search for Deep Image Prior
Kary Ho
Andrew Gilbert
Hailin Jin
John Collomosse
22
36
0
14 Jan 2020
Attacking Optical Flow
Attacking Optical Flow
Anurag Ranjan
J. Janai
Andreas Geiger
Michael J. Black
AAML
3DPC
11
87
0
22 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
45
667
0
16 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with
  Transferable Latent Dynamics Models
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
Arunkumar Byravan
Jost Tobias Springenberg
A. Abdolmaleki
Roland Hafner
Michael Neunert
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
OffRL
11
41
0
09 Oct 2019
DeeperLab: Single-Shot Image Parser
DeeperLab: Single-Shot Image Parser
Tien-Ju Yang
Maxwell D. Collins
Yukun Zhu
Jyh-Jing Hwang
Ting Liu
Xiao Zhang
Vivienne Sze
George Papandreou
Liang-Chieh Chen
SSeg
VLM
41
189
0
13 Feb 2019
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
198
5,176
0
16 Sep 2016
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