CoinCheung/BiSeNet
A PyTorch implementation of BiSeNetV1 and BiSeNetV2, bilateral segmentation networks for real-time semantic segmentation.

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This repository provides PyTorch implementations of BiSeNetV1 and BiSeNetV2, deep learning models designed for fast semantic segmentation of scenes. The models are trained and evaluated on standard benchmarks including Cityscapes, COCOStuff-123K, and ADE20K. The implementation includes support for multiple inference strategies and deployment optimizations including TensorRT, OpenVINO, and Triton inference server.