Library to recognise and classify faces.
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Updated
Jul 26, 2021 - Python
Library to recognise and classify faces.
Code for paper the "Distance-Ratio-Based Formulation for Metric Learning"
This repository contains the firth bias reduction experiments on the few-shot distribution calibration method conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
Mineral Prediction based on Prototype Learning
Comprehensive Study of Soft Prompting as a efficient method for Model Adaptation
[TIP-2023] IEEE Trans.on Image Processing
NAACL2022 Interactive Symbol Grounding with Complex Referential Expressions
A demonstration repo for how to do automatic translation using local llms.
Supplementary Material For the Paper "NUTS, NARS, and Speech"
Code Release of Exploring Sample Relationship for Few-Shot Classification
LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings
Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022
Code for "Improved Few-Shot Visual Classification"
Non-Euclidean implementations for few-shot image classification on the mini-ImageNet dataset
This repository contains the source code for the IMAML-IDCG (ImageNet Model Agnostic Meta-learning for Invasive Ductal Carcinoma Grading)
This repository contains the experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"
Flower Recognition: Dealing with Less Data via Few-Shot Learning
Something-something-v2 video dataset is splitted into 3 meta-sets, namely, meta-training, meta-validation, meta-test. Overall, dataset includes 100 classes that are divided according to CMU [1] The code also provides a dataloader in order to create episodes considering given n-way k-shot learning task. Videos are converted to the frames under sp…
Using Few Shot Learning (FSL) for image classification on Oxford 17 Flowers dataset. Part of HKU COMP3340 Group 10 Project (2023-24 Sem2).
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