OpenGAN: Open-Set Recognition via Open Data Generation

7 April 2021

Papers citing "OpenGAN: Open-Set Recognition via Open Data Generation"

17 / 117 papers shown

Title
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity Weiyao Wang Matt Feiszli Heng Wang Jitendra Malik Du Tran ISeg 37 48 0 12 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection Jiaming Han Yuqiang Ren Jian Ding Xingjia Pan Ke Yan Guisong Xia ObjD 45 58 0 28 Mar 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-Xiong Wang Deva Ramanan Shu Kong MQ 30 141 0 27 Mar 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 45 19 0 23 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 42 26 0 10 Mar 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 53 15 0 31 Jan 2022
Generalized Category Discovery S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman 45 190 0 07 Jan 2022
Revisiting Open World Object Detection Xiaowei Zhao Xianglong Liu Yifan Shen Yixuan Qiao Yuqing Ma Duorui Wang 76 49 0 03 Jan 2022
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data Matej Grcić Petra Bevandić Zoran Kalafatić Sinivsa vSegvić 43 10 0 23 Dec 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 207 893 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 179 417 0 12 Oct 2021
Reconstruction guided Meta-learning for Few Shot Open Set Recognition Sayak Nag Dripta S. Raychaudhuri S. Paul Amit K. Roy-Chowdhury 24 7 0 31 Jul 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities Jitendra Parmar S. Chouhan Vaskar Raychoudhury S. Rathore OffRL 46 92 0 27 May 2021
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks Hang Wang David J. Miller G. Kesidis GAN AAML 32 12 0 21 May 2021
FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford Aditya Kusupati Keivan Alizadeh Vahid Aaron Walsman Aniruddha Kembhavi Ali Farhadi 25 2 0 06 Jul 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 164 217 0 19 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 310 9,202 0 06 Jun 2015