Parametric Information Maximization for Generalized Category Discovery

Parametric Information Maximization for Generalized Category Discovery

1 December 2022

Florent Chiaroni

Jose Dolz

Imtiaz Masud Ziko

Ismail Ben Ayed

Papers citing "Parametric Information Maximization for Generalized Category Discovery"

10 / 10 papers shown

Title
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 27 6 0 09 Oct 2024
Contrastive Mean-Shift Learning for Generalized Category Discovery Sua Choi Dahyun Kang Minsu Cho 24 10 0 15 Apr 2024
Human-in-the-Loop Visual Re-ID for Population Size Estimation Gustavo Pérez Daniel Sheldon Grant Van Horn Subhransu Maji 18 0 0 08 Dec 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery Sarah Rastegar Hazel Doughty Cees G. M. Snoek 24 15 0 30 Oct 2023
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
Source-Free Domain Adaptation for Image Segmentation M. Bateson H. Kervadec Jose Dolz H. Lombaert Ismail Ben Ayed OOD MedIm 126 65 0 06 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 298 5,761 0 29 Apr 2021
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data Xu Jia Kai Han Yukun Zhu Bradley Green 147 57 0 26 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 206 506 0 15 Jan 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 169 187 0 11 Dec 2020