Object Detection and Semantic Segmentation using PyTorch
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Updated
Jun 16, 2024 - Jupyter Notebook
Object Detection and Semantic Segmentation using PyTorch
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
Imprementation of the paper "Mobip: a lightweight model for driving perception using MobileNet"
Classification project using Self-Organizing Maps (SOM) to differentiate patients and healthy subjects from marker data, encompassing network construction, training, and testing phases.
A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
Course Taken @ UCMerced [2022]
This project is for lazy eye people
🐦 Tools to import, clean, and visualize animal movement data in R
Using multivariate assessments on infant EEG data to investigate visual category representations.
Associating kernels of the deep neural networks with receptive fields of the biological brains.
Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision
Projects & Notebooks of Coursera's Self-Driving Cars Specialization.
Notes 📚, and code 💻 on Visual Search, Perceptual Processing, Neural Circuits, Neurons
RODSNet: End-to-end Real-time Obstacle Detection Network for Safe Self-driving via Multi-task Learning
A tesla Like Car in ROS2 will follow lane , Use AI to classify Sign Boards and sets its speed , Object tracking to act on the sign boards
Cars, Pedestrians and Lanes Detection program for Tesla Self Driving Cars
Web application to illustrate foveated imaging
Python tools for evaluating Salient Object Detection (SOD) models on benchmark datasets
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