Moving object detection is used extensively for applications ranging from security surveillance to traffic monitoring. It is a crucial challenge in the ever-evolving field of computer vision. The ...
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Integrating ADAS with Keypoint Feature Pyramid Network for 3D LiDAR Object Detection
3D LiDAR object detection is a process that assists with identifying and localizing objects of interest in a 3-dimensional space. In autonomous systems and advanced spatial analysis, the evolution of ...
GradCAM – Enhancing Neural Network Interpretability in the Realm of Explainable AI
With millions of trainable parameters, neural networks have long been considered black boxes. They can produce stunning results, and we often accept the output with very little understanding as to why ...
3D LiDAR Visualization using Open3D: A Case Study on 2D KITTI Depth Frames for Autonomous Driving
3D LiDAR sensor (or) 3-dimensional Light Detection and Ranging is an advanced light-emitting instrument that has the ability to perceive the real-world in a 3-dimensional space, just as we humans do. ...
Fine Tuning T5: Text2Text Transfer Transformer for Building a Stack Overflow Tag Generator
In the evolving landscape of natural language processing (NLP), the T5 (Text-To-Text Transfer Transformer) model has emerged as a versatile model. Fine-tuning this model for specific tasks can unleash ...
SegFormer 🤗 : Fine-Tuning for Improved Lane Detection in Autonomous Vehicles
SegFormer: Segmentation has heavily impacted the development of advanced driver assistance systems. It has been pivotal in the rapid development of autonomous vehicle technology. It is built up of ...
