Beast code in Giters

Olivier Veilleux's repositories

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

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Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

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Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

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This repository contains the code for our paper "Instance Credibility Inference for Few-Shot Learning" in CVPR, 2020.

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Laplacian Regularized Few Shot Learning

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Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

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Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297 (NeurIPS 2020)

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Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

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