ColPali multimodal RAG offers a novel approach for efficient retrieval of elements such as images, tables, charts, and texts by treating each page as an image. This method takes advantage of Vision ...
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 ...
CVPR 2024 Key Research & Dataset Papers – Part 2
CVPR 2024 (Computer Vision and Pattern Recognition) is an annual conference held from June 17th to 21st at the Seattle Convention Center, USA, which was a huge success. The IEEE CVPR 2024 Research ...
YOLOv10: The Dual-Head OG of YOLO Series
The classy YOLO series has a new iteration, YOLOv10, a new object detection model. The YOLO series is one of the most used models in the computer vision industry. So, what is YOLOv10? We will explore ...
Fine-tuning Faster R-CNN on Sea Rescue Dataset – Small Object Detection: PyTorch
Detecting small objects in aerial imagery, particularly for critical applications like sea rescue, presents unique challenges. Timely detection of people in the water can mean the difference between ...
Mastering Recommendation System: A Complete Guide
Suppose you’re listening to a song on Spotify, watching a video on YouTube or Netflix, or shopping on Amazon; you’ll always see a list of similar songs, videos, or products recommended to you. ...