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Counterfactual Zero-Shot and Open-Set Visual Recognition

Counterfactual Zero-Shot and Open-Set Visual Recognition

1 March 2021
Zhongqi Yue
Tan Wang
Hanwang Zhang
Qianru Sun
Xiansheng Hua
    BDL
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Papers citing "Counterfactual Zero-Shot and Open-Set Visual Recognition"

41 / 91 papers shown
Title
Difficulty-Aware Simulator for Open Set Recognition
Difficulty-Aware Simulator for Open Set Recognition
WonJun Moon
Junho Park
Hyun Seok Seong
Cheol-Ho Cho
Jae-Pil Heo
27
31
0
20 Jul 2022
Boosting Zero-shot Learning via Contrastive Optimization of Attribute
  Representations
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations
Yu Du
Miaojing Shi
Fangyun Wei
Guoqi Li
VLM
43
15
0
08 Jul 2022
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
Zhuo Chen
Yufen Huang
Jiaoyan Chen
Yuxia Geng
Wen Zhang
Yin Fang
Jeff Z. Pan
Huajun Chen
VLM
29
65
0
04 Jul 2022
Open Vocabulary Object Detection with Proposal Mining and Prediction
  Equalization
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Peixian Chen
Kekai Sheng
Mengdan Zhang
Mingbao Lin
Yunhang Shen
Shaohui Lin
Bo Ren
Ke Li
VLM
ObjD
43
27
0
22 Jun 2022
Recognition of Unseen Bird Species by Learning from Field Guides
Recognition of Unseen Bird Species by Learning from Field Guides
Andrés C. Rodríguez
Stefano Dáronco
Rodrigo Caye Daudt
Jan Dirk Wegner
Konrad Schindler
25
1
0
03 Jun 2022
Exploring the Open World Using Incremental Extreme Value Machines
Exploring the Open World Using Incremental Extreme Value Machines
Tobias Koch
Felix Liebezeit
Christian Riess
Vincent Christlein
Thomas Köhler
VLM
26
3
0
30 May 2022
Deconstructed Generation-Based Zero-Shot Model
Deconstructed Generation-Based Zero-Shot Model
Dubing Chen
Yuming Shen
Haofeng Zhang
Philip Torr
35
7
0
24 Apr 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level
  Prediction
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin
Hongteng Xu
Canqian Yang
Yi Xu
27
24
0
20 Apr 2022
Counterfactual Cycle-Consistent Learning for Instruction Following and
  Generation in Vision-Language Navigation
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
H. Wang
Wei Liang
Jianbing Shen
Luc Van Gool
Wenguan Wang
35
55
0
30 Mar 2022
Hybrid Routing Transformer for Zero-Shot Learning
Hybrid Routing Transformer for Zero-Shot Learning
Dezhong Cheng
Gerong Wang
Boshen Wang
Qiang Zhang
Jungong Han
Dingwen Zhang
22
69
0
29 Mar 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
24
112
0
28 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization
OpenTAL: Towards Open Set Temporal Action Localization
Wentao Bao
Qi Yu
Yu Kong
EDL
30
26
0
10 Mar 2022
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
Shiming Chen
Ziming Hong
Guosen Xie
Wenhan Wang
Qinmu Peng
Kai Wang
Jian-jun Zhao
Xinge You
VLM
23
100
0
07 Mar 2022
Cluster-based Contrastive Disentangling for Generalized Zero-Shot
  Learning
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning
Yi Gao
Chenwei Tang
Jiancheng Lv
11
0
0
05 Mar 2022
Disentangling Autoencoders (DAE)
Disentangling Autoencoders (DAE)
Jaehoon Cha
Jeyan Thiyagalingam
CoGe
33
1
0
20 Feb 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks
Deconfounding to Explanation Evaluation in Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xia Hu
Fuli Feng
Xiangnan He
Tat-Seng Chua
FAtt
CML
17
14
0
21 Jan 2022
HardBoost: Boosting Zero-Shot Learning with Hard Classes
HardBoost: Boosting Zero-Shot Learning with Hard Classes
Bo Liu
Lihua Hu
Zhanyi Hu
Qiulei Dong
24
2
0
14 Jan 2022
Revisiting Open World Object Detection
Revisiting Open World Object Detection
Xiaowei Zhao
Xianglong Liu
Yifan Shen
Yixuan Qiao
Yuqing Ma
Duorui Wang
50
49
0
03 Jan 2022
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed
  Classification
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification
Beier Zhu
Yulei Niu
Xiansheng Hua
Hanwang Zhang
25
41
0
29 Dec 2021
Domain-Aware Continual Zero-Shot Learning
Domain-Aware Continual Zero-Shot Learning
Kai Yi
Paul Janson
Wenxuan Zhang
Mohamed Elhoseiny
51
4
0
24 Dec 2021
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot
  Classification
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
Zhiyu Fang
Xiaobin Zhu
Chun Yang
Zheng Han
Jingyan Qin
Xu-Cheng Yin
22
17
0
24 Dec 2021
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Shiming Chen
Zi-Quan Hong
Wenjin Hou
Guosen Xie
Yibing Song
Jian-jun Zhao
Xinge You
Shuicheng Yan
Ling Shao
ViT
17
44
0
16 Dec 2021
A Factorization Approach for Motor Imagery Classification
A Factorization Approach for Motor Imagery Classification
Byeong-Hoo Lee
Jeong-Hyun Cho
Byoung-Hee Kwon
11
2
0
13 Dec 2021
TransZero: Attribute-guided Transformer for Zero-Shot Learning
TransZero: Attribute-guided Transformer for Zero-Shot Learning
Shiming Chen
Ziming Hong
Yang Liu
Guosen Xie
Baigui Sun
Hao Li
Qinmu Peng
Kelvin Lu
Xinge You
ViT
45
133
0
03 Dec 2021
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Chaoqun Wang
Shaobo Min
Xuejin Chen
Xiaoyan Sun
Houqiang Li
25
45
0
03 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
36
67
0
28 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Yixuan Li
M. Rohban
Mohammad Sabokrou
OOD
38
191
0
26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
188
879
0
21 Oct 2021
Region Semantically Aligned Network for Zero-Shot Learning
Region Semantically Aligned Network for Zero-Shot Learning
Ziyang Wang
Yunhao Gou
Jingjing Li
Yu Zhang
Yang Yang
38
11
0
14 Oct 2021
Causal Attention for Unbiased Visual Recognition
Causal Attention for Unbiased Visual Recognition
Tan Wang
Chan Zhou
Qianru Sun
Hanwang Zhang
OOD
CML
32
108
0
19 Aug 2021
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Zhongqi Yue
Qianru Sun
Xiansheng Hua
Hanwang Zhang
CML
17
56
0
23 Jul 2021
Interventional Video Grounding with Dual Contrastive Learning
Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
26
144
0
21 Jun 2021
Conterfactual Generative Zero-Shot Semantic Segmentation
Conterfactual Generative Zero-Shot Semantic Segmentation
Feihong Shen
Jun Liu
Ping Hu
BDL
39
9
0
11 Jun 2021
Empowering Language Understanding with Counterfactual Reasoning
Empowering Language Understanding with Counterfactual Reasoning
Fuli Feng
Jizhi Zhang
Xiangnan He
Hanwang Zhang
Tat-Seng Chua
LRM
21
33
0
06 Jun 2021
Causal Attention for Vision-Language Tasks
Causal Attention for Vision-Language Tasks
Xu Yang
Hanwang Zhang
Guojun Qi
Jianfei Cai
CML
28
149
0
05 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
CML
176
175
0
02 Mar 2021
Should Graph Convolution Trust Neighbors? A Simple Causal Inference
  Method
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng
Weiran Huang
Xiangnan He
Xin Xin
Qifan Wang
Tat-Seng Chua
GNN
CML
23
63
0
22 Oct 2020
Counterfactual VQA: A Cause-Effect Look at Language Bias
Counterfactual VQA: A Cause-Effect Look at Language Bias
Yulei Niu
Kaihua Tang
Hanwang Zhang
Zhiwu Lu
Xiansheng Hua
Ji-Rong Wen
CML
56
394
0
08 Jun 2020
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
157
216
0
19 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,368
0
12 Dec 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
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