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[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
ECCV2018
An analysis and comparison of transfer learning and meta-learning for the task of few-shot classification of flowers with particular interest in cases where data is limited.
Code to partially reproduce results in "Unearthing InSights into Mars: Unsupervised source separation with limited data", ICML 2023
Federated prediction of graph multi-trajectory evolution
This is a python script which generate a dataset by your limited data
This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and improve the accuracy of the ResNet-50 classifier on a small subset of the ImageNet dataset containing 50K training images and 50K test images. Achieved a mark of 74%