Augmentation of event-based machine learning dataset for image segmentation using noise injection
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Updated
Mar 8, 2022 - Python
Augmentation of event-based machine learning dataset for image segmentation using noise injection
Sim2Real for joint robotic locomotion and manipulation with RCAN
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Apply various methodologies to sentiment classification and report the performance.
Automatic Domain Randomization (ADR) proposed in "Solving Rubik's Cube with a Robot Hand"
Project Page (ObjectDR)
Code for the paper "Generative Adversarial Reinforcement Learning"
Online vs. Offline Adaptive Domain Randomization Benchmark
Development of an image-based autonomous driving system for an e-FSAE.
Machine Learining and Deep Learing algorithms for electronic components detection. Master thesis project. Msc Data Science and Engineering at Polito.
A simple framework to change visual and physical parameters of various simulations without reloading the simulation and through a standardized interface.
Using Blender and Python to generate synthetic data for training an 8-class YOLOv5 detector in a highway driving scenario (Sedan, SUV, Van, Truck, Bus, Warning Sign, Speed Limit Sign, Speed Cam Sign).
Synthetic dataset generation for vision-based prosthetic grasping
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Generates robot models with noise added to URDF parameters for domain randomization
A synthetic data generator for retail object detection, which is built with Blender and Python.
Enabling Faster Training of Robust Reinforcement Learning Policies for Soft Robots
The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest yo…
[WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" accepted in IEEE Transactions on Artificial Intelligence
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