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Discriminative Region-based Multi-Label Zero-Shot Learning

Discriminative Region-based Multi-Label Zero-Shot Learning

20 August 2021
Sanath Narayan
Akshita Gupta
Salman Khan
Fahad Shahbaz Khan
Ling Shao
M. Shah
    VLM
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Papers citing "Discriminative Region-based Multi-Label Zero-Shot Learning"

33 / 33 papers shown
Title
Semantic Diversity Learning for Zero-Shot Multi-label Classification
Semantic Diversity Learning for Zero-Shot Multi-label Classification
Avi Ben-Cohen
Nadav Zamir
Emanuel Ben-Baruch
Itamar Friedman
Lihi Zelnik-Manor
VLM
40
30
0
12 May 2021
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
611
6,020
0
29 Apr 2021
Generative Multi-Label Zero-Shot Learning
Generative Multi-Label Zero-Shot Learning
Akshita Gupta
Sanath Narayan
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Joost van de Weijer
VLM
42
32
0
27 Jan 2021
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label
  Image Recognition
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
Jin Ye
Junjun He
Xiaojiang Peng
Wenhao Wu
Yu Qiao
38
188
0
05 Dec 2020
Invertible Zero-Shot Recognition Flows
Invertible Zero-Shot Recognition Flows
Yuming Shen
Jie Qin
Lei Huang
BDL
AI4CE
69
101
0
09 Jul 2020
Latent Embedding Feedback and Discriminative Features for Zero-Shot
  Classification
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Sanath Narayan
Akshita Gupta
Fahad Shahbaz Khan
Cees G. M. Snoek
Ling Shao
VLM
33
224
0
17 Mar 2020
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label
  Classification
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Renchun You
Zhiyao Guo
Lei Cui
Xiang Long
Sid Ying-Ze Bao
Shilei Wen
61
184
0
17 Dec 2019
Orderless Recurrent Models for Multi-label Classification
Orderless Recurrent Models for Multi-label Classification
V. O. Yazici
Abel Gonzalez-Garcia
Arnau Ramisa
Bartlomiej Twardowski
Joost van de Weijer
SSL
57
92
0
22 Nov 2019
Putting visual object recognition in context
Putting visual object recognition in context
Mengmi Zhang
Claire Tseng
Gabriel Kreiman
30
53
0
17 Nov 2019
Stand-Alone Self-Attention in Vision Models
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
VLM
SLR
ViT
80
1,211
0
13 Jun 2019
Out-of-Distribution Detection for Generalized Zero-Shot Action
  Recognition
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal
Sanath Narayan
Sai Kumar Dwivedi
Vikram Gupta
Shuaib Ahmed
Fahad Shahbaz Khan
Ling Shao
OODD
42
142
0
18 Apr 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
66
998
0
07 Apr 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly
  well on ImageNet
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Wieland Brendel
Matthias Bethge
SSL
FAtt
79
561
0
20 Mar 2019
Pay Less Attention with Lightweight and Dynamic Convolutions
Pay Less Attention with Lightweight and Dynamic Convolutions
Felix Wu
Angela Fan
Alexei Baevski
Yann N. Dauphin
Michael Auli
70
607
0
29 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
171
3,721
0
09 Jan 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
96
2,662
0
29 Nov 2018
CCNet: Criss-Cross Attention for Semantic Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang
Xinggang Wang
Yunchao Wei
Lichao Huang
Humphrey Shi
Wenyu Liu
Chang Huang
VOS
175
2,540
0
28 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.3K
94,511
0
11 Oct 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
206
16,450
0
17 Jul 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
129
3,720
0
21 May 2018
Bilinear Attention Networks
Bilinear Attention Networks
Jin-Hwa Kim
Jaehyun Jun
Byoung-Tak Zhang
AIMat
81
873
0
21 May 2018
Feature Generating Networks for Zero-Shot Learning
Feature Generating Networks for Zero-Shot Learning
Yongqin Xian
Tobias Lorenz
Bernt Schiele
Zeynep Akata
GAN
VLM
60
931
0
04 Dec 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
252
8,888
0
21 Nov 2017
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee
Wei Fang
Chih-Kuan Yeh
Y. Wang
VLM
129
280
0
17 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
573
130,942
0
12 Jun 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
116
477
0
06 Jan 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
554
28,964
0
09 Sep 2016
CYCLADES: Conflict-free Asynchronous Machine Learning
CYCLADES: Conflict-free Asynchronous Machine Learning
Yang Zhang
Maximilian Lam
Stephen Tu
Dimitris Papailiopoulos
Ce Zhang
Michael I. Jordan
M. Shah
Christopher Ré
Benjamin Recht
37
62
0
31 May 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
62
1,162
0
15 Apr 2016
Label-Embedding for Image Classification
Label-Embedding for Image Classification
Zeynep Akata
Florent Perronnin
Zaïd Harchaoui
Cordelia Schmid
VLM
68
778
0
30 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,202
0
04 Sep 2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi
Tomas Mikolov
Samy Bengio
Y. Singer
Jonathon Shlens
Andrea Frome
G. Corrado
J. Dean
VLM
60
936
0
19 Dec 2013
Deep Convolutional Ranking for Multilabel Image Annotation
Deep Convolutional Ranking for Multilabel Image Annotation
Yunchao Gong
Yangqing Jia
Thomas Leung
Alexander Toshev
Sergey Ioffe
VLM
90
432
0
17 Dec 2013
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