5 posts tagged with "Deep Learning"

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.

This post explains how I deployed the TorchVision FCOS object detection model in TensorRT for real-time inference — achieving a ~20× speedup over the LibTorch baseline.

This post outlines how I optimized a Fully Convolutional Network (FCN) segmentation pipeline — from 0.5 FPS (~2000ms per frame) to 31 FPS in real-time.

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.