Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

Project is meant to provide a simple yet powerful baseline for multiple object tracking without the hassle of writing the obvious algorithm stack yourself. - tracking by detection paradigm - IOU + ...

Specifically for the classification task, the goal is, for each of the classes predict the presence/ absence of at least one object of that class in a test image. We will use Pascal VOC 2012 dataset ...

I followed a Bob Ross Painting tutorial but instead of using paintbrushes, I used a bunch of random objects like a Snickers bar, a bag of Cheetos, and a toy car. Needless to say it didn't go fantastic ...

Abstract: Class-incremental learning (CIL) aims to preserve the knowledge of former classes during the updating process of category information. Existing CIL methods often employ a singular exemplar ...

Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...