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Feature Binding with Category-Dependant MixUp for Semantic Segmentation
  and Adversarial Robustness

Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness

13 August 2020
Md. Amirul Islam
M. Kowal
Konstantinos G. Derpanis
Neil D. B. Bruce
ArXivPDFHTML

Papers citing "Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness"

5 / 5 papers shown
Title
GAMA: Generative Adversarial Multi-Object Scene Attacks
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
M. Salman Asif
A. Roy-Chowdhury
AAML
51
17
0
20 Sep 2022
Multi-View Correlation Consistency for Semi-Supervised Semantic
  Segmentation
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation
Yunzhong Hou
Stephen Gould
Liang Zheng
32
0
0
17 Aug 2022
Visual Transformers with Primal Object Queries for Multi-Label Image
  Classification
Visual Transformers with Primal Object Queries for Multi-Label Image Classification
V. O. Yazici
Joost van de Weijer
Longlong Yu
ViT
21
1
0
10 Dec 2021
Semantics Meet Saliency: Exploring Domain Affinity and Models for
  Dual-Task Prediction
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction
Md. Amirul Islam
Mahmoud Kalash
Neil D. B. Bruce
21
5
0
25 Jul 2018
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
15,645
0
02 Nov 2015
1