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On Guiding Visual Attention with Language Specification

On Guiding Visual Attention with Language Specification

17 February 2022
Suzanne Petryk
Lisa Dunlap
Keyan Nasseri
Joseph E. Gonzalez
Trevor Darrell
Anna Rohrbach
    VLM
ArXiv (abs)PDFHTML

Papers citing "On Guiding Visual Attention with Language Specification"

43 / 43 papers shown
Title
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Shreyash Arya
Sukrut Rao
Moritz Bohle
Bernt Schiele
174
3
0
28 Jan 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations
Refining Skewed Perceptions in Vision-Language Models through Visual Representations
Haocheng Dai
Sarang Joshi
VLM
126
0
0
03 Jan 2025
Data Efficient Language-supervised Zero-shot Recognition with Optimal
  Transport Distillation
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation
Bichen Wu
Rui Cheng
Peizhao Zhang
Tianren Gao
Peter Vajda
Joseph E. Gonzalez
VLM
98
45
0
17 Dec 2021
Field-Guide-Inspired Zero-Shot Learning
Field-Guide-Inspired Zero-Shot Learning
Utkarsh Mall
Bharath Hariharan
Kavita Bala
VLM
104
7
0
24 Aug 2021
Just Train Twice: Improving Group Robustness without Training Group
  Information
Just Train Twice: Improving Group Robustness without Training Group Information
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Percy Liang
Chelsea Finn
OOD
107
563
0
19 Jul 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.0K
29,926
0
26 Feb 2021
VinVL: Revisiting Visual Representations in Vision-Language Models
VinVL: Revisiting Visual Representations in Vision-Language Models
Pengchuan Zhang
Xiujun Li
Xiaowei Hu
Jianwei Yang
Lei Zhang
Lijuan Wang
Yejin Choi
Jianfeng Gao
ObjDVLM
328
157
0
02 Jan 2021
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
65
62
0
07 Nov 2020
Using Sentences as Semantic Representations in Large Scale Zero-Shot
  Learning
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning
Yannick Le Cacheux
Hervé Le Borgne
M. Crucianu
VLM
38
6
0
06 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
77
47
0
04 Oct 2020
Towards Debiasing NLU Models from Unknown Biases
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
89
155
0
25 Sep 2020
Attribute Prototype Network for Zero-Shot Learning
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
73
294
0
19 Aug 2020
Learning from Failure: Training Debiased Classifier from Biased
  Classifier
Learning from Failure: Training Debiased Classifier from Biased Classifier
J. Nam
Hyuntak Cha
SungSoo Ahn
Jaeho Lee
Jinwoo Shin
84
150
0
06 Jul 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li
Xi Yin
Chunyuan Li
Pengchuan Zhang
Xiaowei Hu
...
Houdong Hu
Li Dong
Furu Wei
Yejin Choi
Jianfeng Gao
VLM
148
1,947
0
13 Apr 2020
Explainable Deep Classification Models for Domain Generalization
Explainable Deep Classification Models for Domain Generalization
Andrea Zunino
Sarah Adel Bargal
Riccardo Volpi
M. Sameki
Jianming Zhang
Stan Sclaroff
Vittorio Murino
Kate Saenko
FAtt
64
40
0
13 Mar 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
65
109
0
09 Jan 2020
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action
  Recognition
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi
Chen Gao
Joseph C.E. Messou
Jia-Bin Huang
135
182
0
11 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,249
0
20 Nov 2019
Shaping Visual Representations with Language for Few-shot Classification
Shaping Visual Representations with Language for Few-shot Classification
Jesse Mu
Percy Liang
Noah D. Goodman
VLM
75
49
0
06 Nov 2019
Interpretations are useful: penalizing explanations to align neural
  networks with prior knowledge
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
Laura Rieger
Chandan Singh
W. James Murdoch
Bin Yu
FAtt
98
215
0
30 Sep 2019
Embedding Human Knowledge into Deep Neural Network via Attention Map
Embedding Human Knowledge into Deep Neural Network via Attention Map
Masahiro Mitsuhara
Hiroshi Fukui
Yusuke Sakashita
Takanori Ogata
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
72
73
0
09 May 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Xin Wang
Feng Yu
Ruth Wang
Trevor Darrell
Joseph E. Gonzalez
76
105
0
11 Apr 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim
Hyunwoo Kim
Kyungsu Kim
Sungjin Kim
Junmo Kim
OOD
62
411
0
26 Dec 2018
Attention Branch Network: Learning of Attention Mechanism for Visual
  Explanation
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
Hiroshi Fukui
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
XAIFAtt
70
409
0
25 Dec 2018
Object Hallucination in Image Captioning
Object Hallucination in Image Captioning
Anna Rohrbach
Lisa Anne Hendricks
Kaylee Burns
Trevor Darrell
Kate Saenko
199
443
0
06 Sep 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended
  Abstract)
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
132
480
0
02 Jul 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
188
1,176
0
19 Jun 2018
Guide Me: Interacting with Deep Networks
Guide Me: Interacting with Deep Networks
Christian Rupprecht
Iro Laina
Nassir Navab
Gregory Hager
Federico Tombari
HAI
58
38
0
30 Mar 2018
Tell Me Where to Look: Guided Attention Inference Network
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Y. Fu
124
532
0
27 Feb 2018
A Generative Adversarial Approach for Zero-Shot Learning from Noisy
  Texts
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Yizhe Zhu
Mohamed Elhoseiny
Bingchen Liu
Xi Peng
Ahmed Elgammal
VLMGAN
82
386
0
04 Dec 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using
  Corpus-level Constraints
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
FaML
113
974
0
29 Jul 2017
Teaching Machines to Describe Images via Natural Language Feedback
Teaching Machines to Describe Images via Natural Language Feedback
Huan Ling
Sanja Fidler
76
45
0
01 Jun 2017
Right for the Right Reasons: Training Differentiable Models by
  Constraining their Explanations
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
A. Ross
M. C. Hughes
Finale Doshi-Velez
FAtt
136
591
0
10 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
335
20,110
0
07 Oct 2016
Top-down Neural Attention by Excitation Backprop
Top-down Neural Attention by Excitation Backprop
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
92
949
0
01 Aug 2016
Attention Correctness in Neural Image Captioning
Attention Correctness in Neural Image Captioning
Chenxi Liu
Junhua Mao
Fei Sha
Alan Yuille
3DV
85
220
0
31 May 2016
Less is more: zero-shot learning from online textual documents with
  noise suppression
Less is more: zero-shot learning from online textual documents with noise suppression
Ruizhi Qiao
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
81
184
0
05 Apr 2016
Segmentation from Natural Language Expressions
Segmentation from Natural Language Expressions
Ronghang Hu
Marcus Rohrbach
Trevor Darrell
VLMEgoV
81
438
0
20 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Grounding of Textual Phrases in Images by Reconstruction
Grounding of Textual Phrases in Images by Reconstruction
Anna Rohrbach
Marcus Rohrbach
Ronghang Hu
Trevor Darrell
Bernt Schiele
82
497
0
12 Nov 2015
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual
  Descriptions
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba
Kevin Swersky
Sanja Fidler
Ruslan Salakhutdinov
VLM
95
439
0
01 Jun 2015
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for
  Richer Image-to-Sentence Models
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer
Liwei Wang
Christopher M. Cervantes
Juan C. Caicedo
Julia Hockenmaier
Svetlana Lazebnik
208
2,074
0
19 May 2015
Microsoft COCO Captions: Data Collection and Evaluation Server
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen
Hao Fang
Nayeon Lee
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollar
C. L. Zitnick
224
2,496
0
01 Apr 2015
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