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  3. 1805.04025
  4. Cited By
Deep Nets: What have they ever done for Vision?

Deep Nets: What have they ever done for Vision?

10 May 2018
Alan Yuille
Chenxi Liu
ArXivPDFHTML

Papers citing "Deep Nets: What have they ever done for Vision?"

13 / 13 papers shown
Title
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang
Binglin Qiu
Qi Jia
Yu Liu
Ran He
CLL
40
0
0
04 Nov 2024
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentation
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
27
5
0
17 Jan 2024
Structured Generative Models for Scene Understanding
Structured Generative Models for Scene Understanding
Christopher K. I. Williams
OCL
3DV
19
3
0
07 Feb 2023
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors
  Quantization
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization
Rita Pucci
C. Micheloni
N. Martinel
19
0
0
02 Feb 2023
Exploring Semantic Attributes from A Foundation Model for Federated
  Learning of Disjoint Label Spaces
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces
Shitong Sun
Chenyang Si
Guile Wu
S. Gong
FedML
23
0
0
29 Aug 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
42
29
0
15 Mar 2022
What Is Considered Complete for Visual Recognition?
What Is Considered Complete for Visual Recognition?
Lingxi Xie
Xiaopeng Zhang
Longhui Wei
Jianlong Chang
Qi Tian
VLM
18
4
0
28 May 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
569
0
27 May 2021
Understanding Compositional Structures in Art Historical Images using
  Pose and Gaze Priors
Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors
Prathmesh Madhu
Tilman Marquart
Ronak Kosti
Peter Bell
Andreas K. Maier
Vincent Christlein
CoGe
22
19
0
08 Sep 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
41
82
0
10 Jun 2020
Local Relation Networks for Image Recognition
Local Relation Networks for Image Recognition
Han Hu
Zheng-Wei Zhang
Zhenda Xie
Stephen Lin
FAtt
24
498
0
25 Apr 2019
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
85
3,077
0
04 Jun 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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