Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
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Updated
Jun 6, 2024 - Python
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
Image classification on Tiny ImageNet
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
A Steganography model that uses Deep Learning in order to hide secret images within covers, making it impossible to be deciphered by the naked eye.
mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks
Tensorflow implementation of Image Matching with Triplet Loss on the Tiny ImageNet dataset.
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
Image Classification Training Framework for Network Distillation
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
Challenge: Apply advanced computer vision concepts (CNN only) and beat state-of-the-art using constrained resources and concepts.
Image Tagger: AI-based Android App for Automated Image Annotation
Implémentation du papier Colorization Transformer (ICLR 2021) - Version Expérimentale
An implementation of MobileNetV3 with pyTorch
Code and final submission for the Tiny ImageNet Challenge. Trained on Google colab and finished top 5 among 1072 participants
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
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