Action Recognition Field Notes: Boundary Relabeling, Near-Miss Pairs, and Splits That Don't Lie
This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.
An action recognition run that stalls at "decent" usually isn't starved of architecture. It's starved of honest labels. This post is the code for the three fixes that moved accuracy more than any tuning: boundary relabeling, near-miss sampling, and source-aware splits. 1. Relabel to temporal bounda…
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- 2026-09-04 09:13 · DEV Community — Machine Learning
Action Recognition Field Notes: Boundary Relabeling, Near-Miss Pairs, and Splits That Don't Lie
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