Feyn team launched FeyNoBg, a new SOTA background removal model, and open-sourced the NoBg library. Built on BiRefNet, it expands feature extraction modules from 18 to 24 (263M params). Trained on 10 datasets (26,100 images), it achieves top S-measure on 4 of 8 benchmarks. The NoBg library offers higher throughput, lower latency, and less memory than BiRefNet. Available on Hugging Face and GitHub.
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