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What Sketch Explainability Really Means for Downstream Tasks
14 March 2024
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
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Papers citing
"What Sketch Explainability Really Means for Downstream Tasks"
28 / 28 papers shown
Title
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
46
4,015
1
10 Feb 2023
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
A. Bhunia
Viswanatha Reddy Gajjala
Subhadeep Koley
Rohit Kundu
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
CLL
54
30
0
28 Mar 2022
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
A. Bhunia
Subhadeep Koley
Abdullah Faiz Ur Rahman Khilji
Aneeshan Sain
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
AAML
45
43
0
28 Mar 2022
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input
Pinaki Nath Chowdhury
A. Bhunia
Viswanatha Reddy Gajjala
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
59
21
0
28 Mar 2022
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
Yu Zeng
Zhe Lin
Vishal M. Patel
DiffM
27
45
0
30 Nov 2021
Sketch Your Own GAN
Sheng-Yu Wang
David Bau
Jun-Yan Zhu
GAN
41
70
0
05 Aug 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
A. Kapishnikov
Subhashini Venugopalan
Besim Avci
Benjamin D. Wedin
Michael Terry
Tolga Bolukbasi
49
93
0
17 Jun 2021
Sketch-Guided Object Localization in Natural Images
Aditay Tripathi
Rajath R Dani
Anand Mishra
Anirban Chakraborty
33
27
0
14 Aug 2020
SketchyCOCO: Image Generation from Freehand Scene Sketches
Chengying Gao
Qi Liu
Qi Xu
Limin Wang
Jianzhuang Liu
C. Zou
107
116
0
05 Mar 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval
A. Bhunia
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
50
104
0
24 Feb 2020
Why Do Line Drawings Work? A Realism Hypothesis
Aaron Hertzmann
34
56
0
14 Feb 2020
LiveSketch: Query Perturbations for Guided Sketch-based Visual Search
John Collomosse
Tu Bui
Hailin Jin
40
57
0
14 Apr 2019
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval
S. Dey
Pau Riba
Anjan Dutta
Josep Llados
Yi-Zhe Song
24
180
0
06 Apr 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
Anjan Dutta
Zeynep Akata
52
144
0
08 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
479
10,466
0
12 Dec 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
97
1,159
0
19 Jun 2018
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
W. Chen
James Hays
GAN
61
306
0
09 Jan 2018
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
Anurag Arnab
O. Mikšík
Philip Torr
AAML
50
305
0
27 Nov 2017
The (Un)reliability of saliency methods
Pieter-Jan Kindermans
Sara Hooker
Julius Adebayo
Maximilian Alber
Kristof T. Schütt
Sven Dähne
D. Erhan
Been Kim
FAtt
XAI
69
683
0
02 Nov 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
187
18,685
0
20 Jul 2017
Real Time Image Saliency for Black Box Classifiers
P. Dabkowski
Y. Gal
33
586
0
22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAtt
AAML
30
1,514
0
11 Apr 2017
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
80
3,848
0
10 Apr 2017
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
70
5,920
0
04 Mar 2017
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
111
9,266
0
14 Dec 2015
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
137
4,653
0
21 Dec 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
113
14,831
1
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
196
15,825
0
12 Nov 2013
1