5 posts tagged with "Computer Vision"

After completing my SCNN lane detection project, I reviewed the RESA paper (2020), which extends SCNN's message-passing mechanism with a Recurrent Feature Shift Aggregator (RESA) and a Bilateral Up-Sampling Decoder (BUSD). The paper claimed a 9% F1-score improvement over SCNN. My experiments told a different story.

I recently worked on a lane marking detection project. After reviewing the literature, I decided to use the SCNN (Spatial CNN) model — not because it's state of the art, but because it falls squarely into my "if you can't implement it, you don't really understand it" category.

Over the past few weeks, I've been working on a Python tool that converts Synthesia-style piano videos into MIDI files using computer vision — and I'm making it public today.

I've been experimenting with YOLOv11 recently, and I was genuinely surprised by how easy it is to use — it delivers accurate results with minimal effort.

When people think about YOLO model versions, the assumption is usually straightforward: newer is better. But that isn't always the case — especially when you're using pre-trained weights without any fine-tuning.