Rethinking Class Relations: Absolute-relative Supervised and
Unsupervised Few-shot Learning

Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning

12 January 2020

Hongguang Zhang

Songlei Jian

Philip H. S. Torr

Papers citing "Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning"

8 / 8 papers shown

Title
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring Hongguang Zhang Limeng Zhang Yuchao Dai Hongdong Li Piotr Koniusz 22 18 0 14 Feb 2023
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection Shan Zhang Naila Murray Lei Wang Piotr Koniusz ViT 27 16 0 30 Oct 2022
Attribute Prototype Network for Any-Shot Learning Wenjia Xu Yongqin Xian Jiuniu Wang Bernt Schiele Zeynep Akata VLM 19 37 0 04 Apr 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 29 4 0 15 Feb 2022
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 19 59 0 13 Dec 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 13 25 0 26 Oct 2021
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 37 56 0 27 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 308 11,681 0 09 Mar 2017