Topic · Tasks

Segmentation

Everything on this site about segmentation, in the order to read it: a page is listed after the pages it builds on. The figures below are the ones those pages use to explain it; each is live: move a slider and it recomputes.

In reading order

  1. Read · read first: Object Detection — A Quick Read
  2. Read · read first: Swin Transformer — Windows, Shifts and a Pyramid for Dense Prediction, Masked Autoencoders — Hide 75 %, Encode the Rest, CLIP — Learning Pictures From the Words Next to Them
  3. Paper
  4. Paper

The figures these pages use

Pulled from the pages above. Move a slider and the figure recomputes, exactly as on its page.

From Vision Transformers Today — May 2022 to October 2026, Year by Year › 3. 2024: The State-Space Year

76816
Attention against a selective scan, as tokens grow. Left: multiply-adds per layer, log scale, from 64 to 65,536 tokens (224² at patch 16 is 196; 1024² is 4,096). Right: what each has to keep in memory. The dotted vertical line is N = 6D, MambaOut's definition of a long sequence: left of it the quadratic term is a minority of a block's cost.

Tags that go with it

Data augmentation 1Efficient attention 1Object detection 1Self-supervised learning 1Video 1Vision transformers 1