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Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
v1v2 (latest)

Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition

14 July 2023
Qiulei Dong
Hong Wang
Qiulei Dong
ArXiv (abs)PDFHTMLGithub

Papers citing "Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition"

43 / 43 papers shown
Global Spectral Filter Memory Network for Video Object Segmentation
Global Spectral Filter Memory Network for Video Object SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Yong-Jin Liu
R. Yu
Jiahao Wang
Xinyuan Zhao
Yitong Wang
Yansong Tang
Yujiu Yang
VOS
290
44
0
11 Oct 2022
Towards Accurate Open-Set Recognition via Background-Class
  Regularization
Towards Accurate Open-Set Recognition via Background-Class RegularizationEuropean Conference on Computer Vision (ECCV), 2022
Wonwoong Cho
Jaegul Choo
BDL
192
24
0
21 Jul 2022
Difficulty-Aware Simulator for Open Set Recognition
Difficulty-Aware Simulator for Open Set RecognitionEuropean Conference on Computer Vision (ECCV), 2022
WonJun Moon
Junho Park
Hyun Seok Seong
Cheol-Ho Cho
Jae-Pil Heo
402
42
0
20 Jul 2022
Class-Specific Semantic Reconstruction for Open Set Recognition
Class-Specific Semantic Reconstruction for Open Set RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hongzhi Huang
Yu Wang
Qinghua Hu
Mingg-Ming Cheng
BDL
273
77
0
05 Jul 2022
OOD Augmentation May Be at Odds with Open-Set Recognition
OOD Augmentation May Be at Odds with Open-Set Recognition
Mohammad Azizmalayeri
M. Rohban
214
9
0
09 Jun 2022
PMAL: Open Set Recognition via Robust Prototype Mining
PMAL: Open Set Recognition via Robust Prototype MiningAAAI Conference on Artificial Intelligence (AAAI), 2022
Jing Lu
Yunxu Xu
Hao Li
Zhanzhan Cheng
Yi Niu
231
75
0
16 Mar 2022
How Do Vision Transformers Work?
How Do Vision Transformers Work?International Conference on Learning Representations (ICLR), 2022
Namuk Park
Songkuk Kim
ViT
619
642
0
14 Feb 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?International Conference on Learning Representations (ICLR), 2021
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
653
583
0
12 Oct 2021
Global Filter Networks for Image Classification
Global Filter Networks for Image Classification
Yongming Rao
Wenliang Zhao
Zheng Zhu
Jiwen Lu
Jie Zhou
ViT
369
650
0
01 Jul 2021
Temporal Query Networks for Fine-grained Video Understanding
Temporal Query Networks for Fine-grained Video UnderstandingComputer Vision and Pattern Recognition (CVPR), 2021
Chuhan Zhang
Ankush Gupta
Andrew Zisserman
342
104
0
19 Apr 2021
Conditional Variational Capsule Network for Open Set Recognition
Conditional Variational Capsule Network for Open Set RecognitionIEEE International Conference on Computer Vision (ICCV), 2021
Yunrui Guo
Guglielmo Camporese
Wenjing Yang
A. Sperduti
Lamberto Ballan
BDL
262
58
0
19 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation
OpenGAN: Open-Set Recognition via Open Data GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Shu Kong
Deva Ramanan
534
279
0
07 Apr 2021
Learning Placeholders for Open-Set Recognition
Learning Placeholders for Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2021
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
VLM
267
249
0
28 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE International Conference on Computer Vision (ICCV), 2021
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
5.7K
30,861
0
25 Mar 2021
Adversarial Reciprocal Points Learning for Open Set Recognition
Adversarial Reciprocal Points Learning for Open Set RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Guangyao Chen
Peixi Peng
Xiangqian Wang
Yonghong Tian
680
419
0
01 Mar 2021
Transformer in Transformer
Transformer in TransformerNeural Information Processing Systems (NeurIPS), 2021
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
1.2K
2,124
0
27 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without ConvolutionsIEEE International Conference on Computer Vision (ICCV), 2021
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
1.2K
4,374
0
24 Feb 2021
FcaNet: Frequency Channel Attention Networks
FcaNet: Frequency Channel Attention NetworksIEEE International Conference on Computer Vision (ICCV), 2020
Zequn Qin
Pengyi Zhang
Leilei Gan
Xi Li
504
1,019
0
22 Dec 2020
Learning Open Set Network with Discriminative Reciprocal Points
Learning Open Set Network with Discriminative Reciprocal PointsEuropean Conference on Computer Vision (ECCV), 2020
Guangyao Chen
Limeng Qiao
Yemin Shi
Peixi Peng
Jia Li
Tiejun Huang
Shiliang Pu
Yonghong Tian
UQCVEDL
306
257
0
31 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.6K
60,084
0
22 Oct 2020
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Open-Set Recognition with Gaussian Mixture Variational AutoencodersAAAI Conference on Artificial Intelligence (AAAI), 2020
Alexander Cao
Yuan Luo
Diego Klabjan
VLMBDLDRL
178
48
0
03 Jun 2020
Hybrid Models for Open Set Recognition
Hybrid Models for Open Set RecognitionEuropean Conference on Computer Vision (ECCV), 2020
Hongjie Zhang
Ang Li
Jie Guo
Yanwen Guo
BDL
482
206
0
27 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDLUQCV
780
262
0
19 Mar 2020
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
Fine-grained Video-Text Retrieval with Hierarchical Graph ReasoningComputer Vision and Pattern Recognition (CVPR), 2020
Shizhe Chen
Yida Zhao
Qin Jin
Qi Wu
350
370
0
01 Mar 2020
Say As You Wish: Fine-grained Control of Image Caption Generation with
  Abstract Scene Graphs
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene GraphsComputer Vision and Pattern Recognition (CVPR), 2020
Shizhe Chen
Qin Jin
Peng Wang
Qi Wu
DiffM
407
244
0
01 Mar 2020
Residual Flows for Invertible Generative Modeling
Residual Flows for Invertible Generative ModelingNeural Information Processing Systems (NeurIPS), 2019
Ricky T. Q. Chen
Jens Behrmann
David Duvenaud
J. Jacobsen
BDLTPMDRL
706
430
0
06 Jun 2019
High Frequency Component Helps Explain the Generalization of
  Convolutional Neural Networks
High Frequency Component Helps Explain the Generalization of Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2019
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
510
661
0
28 May 2019
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
Poojan Oza
Vishal M. Patel
452
389
0
02 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 ImageNetInternational Conference on Learning Representations (ICLR), 2019
Wieland Brendel
Matthias Bethge
SSLFAtt
473
623
0
20 Mar 2019
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory
  Prediction
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
Pu Zhang
Wanli Ouyang
Pengfei Zhang
Jianru Xue
Nanning Zheng
299
534
0
07 Mar 2019
An Attention Enhanced Graph Convolutional LSTM Network for
  Skeleton-Based Action Recognition
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
393
810
0
25 Feb 2019
Classification-Reconstruction Learning for Open-Set Recognition
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi
Wen Shao
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
BDL
453
375
0
11 Dec 2018
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
1.0K
3,058
0
29 Nov 2018
Reducing Network Agnostophobia
Reducing Network Agnostophobia
A. Dhamija
Manuel Günther
Terrance E. Boult
AAMLUQCV
578
361
0
09 Nov 2018
Robust Classification with Convolutional Prototype Learning
Robust Classification with Convolutional Prototype Learning
Hong-Ming Yang
Xu-Yao Zhang
Fei Yin
Cheng-Lin Liu
301
436
0
09 May 2018
Decoupled Weight Decay Regularization
Decoupled Weight Decay Regularization
I. Loshchilov
Katharina Eggensperger
OffRL
812
2,608
0
14 Nov 2017
Video Summarization with Attention-Based Encoder-Decoder Networks
Video Summarization with Attention-Based Encoder-Decoder Networks
Zhong Ji
Kailin Xiong
Yanwei Pang
Xuelong Li
319
361
0
31 Aug 2017
Generative OpenMax for Multi-Class Open Set Classification
Generative OpenMax for Multi-Class Open Set Classification
Zongyuan Ge
S. Demyanov
Zetao Chen
R. Garnavi
VLM
287
453
0
24 Jul 2017
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
459
711
0
08 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
4.2K
225,080
0
10 Dec 2015
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDLEDL
567
1,694
0
19 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
4.0K
110,317
0
04 Sep 2014
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
720
2,835
0
21 Jun 2013
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