Erik Valle's Projects
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Poisson Binomial Probability Distribution for Python
programming-assignment-2----neural-network-jessie-backports created by GitHub Classroom
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
This repository contains the project proposal,code and final report for the implementation of the paper "Parallax Tolerant Image Stitching"(link :"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6909813").
Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning
Python library to transform, analyze, and visualize computer vision annotations.
Curso de Introducción a Machine Learning con Python
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
PyTorch implementations of Generative Adversarial Networks.
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)
Official TensorFlow implementation of "RECALL: Replay-based Continual Learning in Semantic Segmentation", ICCV 2021
source codes for Parallax-Tolerant Image Stitching Based on Robust Elastic Warping
Source code of "Hyperspectral Image Classification Using Random Occlusion Data Augmentation"
ROS system daemon for Groovy
Relational-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
Scaled-YOLOv4: Scaling Cross Stage Partial Network
PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"