#Semantic Segmentation
Machine Learning Primer
September 5, 2026
Object Detection & Semantic Segmentation Primer — Reading "What Is Where" From an Image
Object Detection draws boxes around things; Semantic Segmentation colors in every pixel by meaning. From the difference between the two, through Instance and Panoptic Segmentation, the lineage from R-CNN to YOLO, DETR and DINO, all the way to their 3D point-cloud counterparts — a systematic tour of the fundamentals of scene understanding.
Fundamentals · 14 min Machine Learning Primer September 4, 2026A Thorough Guide to SegFormer — Why a Transformer Without Positional Encoding Works for Segmentation
This article breaks down SegFormer, introduced by NVIDIA, The University of Hong Kong, and collaborators at NeurIPS 2021, based on the original paper. We examine the hierarchical MiT encoder without positional encoding, the parameter-efficient All-MLP decoder, the effective receptive field, and the measured mIoU, parameter counts, and compute from B0 to B5 with equations.
Fundamentals · 9 minTechnology Trends in Semantic Segmentation
From transformer-based SegFormer and Mask2Former to the Segment Anything family, which can carve out any object from a prompt. Surveying where segmentation stands as it moves away from fixed classes.
Trends · 6 min