Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
Learning

Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning

14 October 2021

Philip S. Yu

Papers citing "Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning"

7 / 7 papers shown

Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 57 0 0 12 Mar 2025
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation Jiaqi Ma Guo-Sen Xie Fang Zhao Zechao Li 32 0 0 23 Dec 2024
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors Linshan Wu Jiaxin Zhuang Hao Chen 37 5 0 13 Oct 2024
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 201 328 0 22 Jul 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard E. Turner 54 89 0 06 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 629 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017