Contrastive Language Image Pretraining (CLIP) by OpenAI is a model that connects text and images, allowing it to recognize and categorize images without needing specific training for each category. ...
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Introduction to LiDAR SLAM: LOAM and LeGO-LOAM Paper and Code Explanation with ROS 2 Implementation
LiDAR SLAM is a crucial component in robotics perception, widely used in both industry and academia for its efficiency and robustness in localization and mapping. In robotics perception research, ...
Recommendation System using Vector Search with Qdrant
Suppose you watched Black Panther on Netflix over the weekend and now want to check out more films like that. When you open Netflix again, it suggests Iron Man, Avengers, and Doctor Strange. This is ...
Fine Tuning Whisper on Custom Dataset
Whisper is a leading open-source model used for converting speech to text. Developed by OpenAI, Whisper has been trained on a diverse array of languages and speech conditions using extensive data. ...
SAM 2 – Promptable Segmentation for Images and Videos
Image segmentation is one of the most fundamental tasks in Computer Vision. With their Segment Anything Model (SAM), last year, Meta AI put forth the world's first foundation model for image ...
Introduction to Feature Matching Using Neural Networks
You use panorama mode to click a wide-view photo in your camera. But how does this panorama mode actually work under the hood? Or suppose you have an unstable video of your bike riding, and you go to ...
