Classification-Reconstruction Learning for Open-Set Recognition

11 December 2018

Papers citing "Classification-Reconstruction Learning for Open-Set Recognition"

50 / 61 papers shown

Title
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Jiawen Xu O. Kao Margret Keuper 14 0 0 19 May 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 57 0 0 22 Mar 2025
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 45 0 0 11 Mar 2025
Open-Set Object Detection By Aligning Known Class Representations Hiran Sarkar Vishal M. Chudasama N. Onoe Pankaj Wasnik Vineeth N. Balasubramanian ObjD 52 5 0 31 Dec 2024
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios Ning Liao Xiaopeng Zhang Minglu Cao Junchi Yan VPVLM VLM 69 0 0 31 Dec 2024
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 45 0 0 15 Oct 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework Haifeng Yang Chuanxing Geng Pong C. Yuen Songcan Chen 39 0 0 27 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization Mainak Singha Ankit Jha Shirsha Bose Ashwin Nair Moloud Abdar Biplab Banerjee VLM 60 10 0 31 Mar 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation Joanna Komorniczak Pawel Ksieniewicz 25 1 0 09 Feb 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery Sarah Rastegar Hazel Doughty Cees G. M. Snoek 38 15 0 30 Oct 2023
Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training Xiang Li Beibei Feng Tianning Zang Shuyuan Zhao Jing Ma 26 4 0 31 Aug 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition Jiaying Sun Hong Wang Qiulei Dong 25 0 0 14 Jul 2023
Progressive Open Space Expansion for Open-Set Model Attribution Tianyun Yang Danding Wang Fan Tang Xinying Zhao Juan Cao Sheng Tang 31 17 0 13 Mar 2023
Membership Inference Attack for Beluga Whales Discrimination Voncarlos Marcelo Araújo Sébastien Gambs Clément Chion Robert Michaud L. Schneider H. Lautraite 33 2 0 28 Feb 2023
Subsidiary Prototype Alignment for Universal Domain Adaptation Jogendra Nath Kundu Suvaansh Bhambri Akshay Ravindra Kulkarni Hiran Sarkar Varun Jampani R. Venkatesh Babu 37 21 0 28 Oct 2022
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition Jingyun Jia P. Chan BDL 19 2 0 28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 27 4 0 26 Sep 2022
Deep Open-Set Recognition for Silicon Wafer Production Monitoring Luca Frittoli Diego Carrera B. Rossi P. Fragneto Giacomo Boracchi BDL 24 19 0 30 Aug 2022
UC-OWOD: Unknown-Classified Open World Object Detection Zhi-zong Wu Yue Lu Xingyu Chen Zhengxing Wu Liwen Kang Junzhi Yu 17 55 0 23 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 32 11 0 20 Jul 2022
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation Yusuke Hosoya Masanori Suganuma Takayuki Okatani ObjD 36 2 0 20 Jul 2022
Dual Decision Improves Open-Set Panoptic Segmentation Hainan Xu Hao Chen Lingqiao Liu Yufei Yin VLM 24 6 0 06 Jul 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 32 3 0 16 May 2022
Evaluating Uncertainty Calibration for Open-Set Recognition Zongyao Lyu Nolan B. Gutierrez William J. Beksi UQCV 35 1 0 15 May 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 45 12 0 06 Apr 2022
PMAL: Open Set Recognition via Robust Prototype Mining Jing Lu Yunxu Xu Hao Li Zhanzhan Cheng Yi Niu 29 53 0 16 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 37 26 0 10 Mar 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 20 32 0 12 Feb 2022
Open-Set Recognition of Breast Cancer Treatments Alexander Cao Diego Klabjan Yuan Luo BDL OOD 32 1 0 09 Jan 2022
Learning to Detect Every Thing in an Open World Kuniaki Saito Ping Hu Trevor Darrell Kate Saenko ObjD VLM 19 45 0 03 Dec 2021
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification Lizhe Liu Mingqiang Chen Xiaohao Chen Siyu Zhu Ping Tan CVBM 13 4 0 22 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Spatial Location Constraint Prototype Loss for Open Set Recognition Ziheng Xia Ganggang Dong Penghui Wang Hongwei Liu UQCV BDL 32 18 0 21 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 27 32 0 09 Oct 2021
A novel network training approach for open set image recognition Md Tahmid Hossaina S. Teng Guojun Lu Ferdous Sohel 26 0 0 27 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 27 5 0 14 Sep 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 29 35 0 18 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 148 30 0 13 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition Xin Sun Henghui Ding Chi Zhang Guosheng Lin K. Ling 23 17 0 05 Aug 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 18 60 0 30 Jun 2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios Lakshman Balasubramanian Friedrich Kruber M. Botsch Ke Deng 26 12 0 17 May 2021
OVANet: One-vs-All Network for Universal Domain Adaptation Kuniaki Saito Kate Saenko 33 141 0 07 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 22 46 0 07 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 331 0 22 Mar 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 35 25 0 18 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 166 194 0 01 Mar 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches Jasmin Breitenstein Jan-Aike Termöhlen Daniel Lipinski Tim Fingscheidt AAML 30 35 0 11 Feb 2021
Automatic Open-World Reliability Assessment Mohsen Jafarzadeh T. Ahmad A. Dhamija Chunchun Li Steve Cruz Terrance E. Boult 26 11 0 11 Nov 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 30 13 0 12 Oct 2020