Open-Set Likelihood Maximization for Few-Shot Learning

Open-Set Likelihood Maximization for Few-Shot Learning

20 January 2023

Etienne Bennequin

Antoine Toubhans

Pablo Piantanida

C´eline Hudelot

Ismail Ben Ayed

Papers citing "Open-Set Likelihood Maximization for Few-Shot Learning"

15 / 15 papers shown

Title
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 46 1 0 19 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits Mateusz Ochal Massimiliano Patacchiola Malik Boudiaf Sen Wang 32 0 0 04 Aug 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 63 3 0 20 Jul 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 44 0 0 26 Jun 2024
Transductive Zero-Shot and Few-Shot CLIP Ségolène Martin Yunshi Huang Fereshteh Shakeri J. Pesquet Ismail Ben Ayed BDL VLM 28 13 0 08 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification Yassir Bendou G. Lioi Bastien Pasdeloup Lukas Mauch G. B. Hacene Fabien Cardinaux Vincent Gripon VLM MLLM 41 0 0 31 Mar 2024
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 27 2 0 14 Dec 2023
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 32 4 0 03 Nov 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
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 250 2,603 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 303 5,773 0 29 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 173 686 0 22 Apr 2021
Few-shot Open-set Recognition by Transformation Consistency Minki Jeong Seokeon Choi Changick Kim 41 49 0 02 Mar 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 35 61 0 14 Dec 2020
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