Library to recognise and classify faces.
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Updated
Jul 26, 2021 - Python
Library to recognise and classify faces.
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
[TIP-2023] IEEE Trans.on Image Processing
Code for paper the "Distance-Ratio-Based Formulation for Metric Learning"
NAACL2022 Interactive Symbol Grounding with Complex Referential Expressions
A demonstration repo for how to do automatic translation using local llms.
Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022
Supplementary Material For the Paper "NUTS, NARS, and Speech"
Code Release of Exploring Sample Relationship for Few-Shot Classification
Pre-training a Masked Autoencoder with the idea of Diffusion Models for Hyperspectral Image Classification.
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
Few-Shot Graph Classification via distance metric 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).
Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.
Code for "Improved Few-Shot Visual Classification"
Non-Euclidean implementations for few-shot image classification on the mini-ImageNet dataset
Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"
Code Repository for "SFT: Few-Shot Learning via Self-Supervised Feature Fusion With Transformer"
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