Guglielmo Camporese's repositories
hands-segmentation-pytorch
A repo for training and finetuning models for hands segmentation.
cvaecaposr
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
epic-kitchens-dataset-pytorch
Simple PyTorch Dataset for the EPIC-Kitchens-55 and EPIC-Kitchens-100 that handles frames and features (rgb, optical flow, and objects) for the Action Recognition and the Action Anticipation Tasks!
learning_invariances_in_speech_recognition
In this work I investigate the speech command task developing and analyzing deep learning models. The state of the art technology uses convolutional neural networks (CNN) because of their intrinsic nature of learning correlated represen- tations as is the speech. In particular I develop different CNNs trained on the Google Speech Command Dataset and tested on different scenarios. A main problem on speech recognition consists in the differences on pronunciations of words among different people: one way of building an invariant model to variability is to augment the dataset perturbing the input. In this work I study two kind of augmentations: the Vocal Tract Length Perturbation (VTLP) and the Synchronous Overlap and Add (SOLA) that locally perturb the input in frequency and time respectively. The models trained on augmented data outperforms in accuracy, precision and recall all the models trained on the normal dataset. Also the design of CNNs has impact on learning invariances: the inception CNN architecture in fact helps on learning features that are invariant to speech variability using different kind of kernel sizes for convolution. Intuitively this is because of the implicit capability of the model on detecting different speech pattern lengths in the audio feature.
awesome-action-prediction-list
A curated list of papers and resources linked to action anticipation and early action recognition from videos.
math-unipd-booking-bot
Simple and easy to use python BOT for the COVID registration booking system of the math department @ unipd (torre archimede). This API creates an interface with the official website, with more useful functionalities.
break_cifar10
Code for the Top-1 submission of contest of VCS AY 2020-2021, the Vision and Cognitive Service class, University of Padova, Italy.
visual-transformer-pytorch
An easy and minimal implementation of the Visual Transformer (ViT) in PyTorch, from scratch!
deep-vector-quantization
What can we do with Vector Quantization on Deep Nets?
A-Deep-Introspection-on-Generative-Adversarial-Networks
Study and implementation of a GAN with Goodfellow’s approach.
cartpole-deeprl-tf
Open AI Cartpole Solved in TensorFlow
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
generative-dog-images
kaggle challenge on GANs for generating dog images
gpu_benchmark
Benchmarks for testing GPUs.
human_protein_atlas_image_classification
Kaggle Competition
keras-targeted-dropout
Targeted dropout implemented in Keras
kinetics-downloader
Download DeepMind's Kinetics dataset.
moco-v3
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
tinyAction
Baseline code for TinyAction Challenge