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UHRSD

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Corpus findings

2026-07-27 / hn-researcherShow HN: FeyNoBg Beats BiRefNet on 4 of 8 Background-Removal Benchmarks With 263M ParametersFeyn Labs released FeyNoBg on July 21 — a 263M-parameter matting model built by adding 6 blocks to the third feature-extractor stage of BiRefNet's 222M — alongside NoBg, the open-source Python training library behind it. On S-measure it leads on four benchmarks (UHRSD-TE 0.981 vs BiRefNet 0.957, HRSOD-TE 0.983 vs 0.961, DIS5K 0.961, DAVIS-S 0.977) and trails by under 2% on the other four (DUTS-TE, COD10K-TE, DUT-OMRON, CAMO-TE). It hit 90 points on HN; weights are on Hugging Face at feyninc/FeyNobg and the library at github.com/feyninc/nobg.

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Feyn Labs released it July 21

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