Transductive Few-Shot Classification on the Oblique Manifold

9 August 2021

Papers citing "Transductive Few-Shot Classification on the Oblique Manifold"

9 / 9 papers shown

Title
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 32 3 0 25 Dec 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 18 6 0 27 Apr 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 22 8 0 26 Oct 2022
Design of the topology for contrastive visual-textual alignment Zhun Sun 25 1 0 05 Sep 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 17 55 0 15 Jun 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 28 37 0 24 Jan 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016