Mask classification is sufficiently general to solve both semantic and instance-level segmentation tasks in a unified manner using the exact same model, loss, and training procedure.
2021: Bowen Cheng1, Alexander G. Schwing, Alexander Kirillov
https://arxiv.org/abs/2107.06278v1

Mask classification is sufficiently general to solve both semantic and instance-level segmentation tasks in a unified manner using the exact same model, loss, and training procedure. 2021: Bowen Cheng1, Alexander G. Schwing, Alexander Kirillov https://arxiv.org/abs/2107.06278v1

Per-Pixel Classification is Not All You Need for Semantic Segmentation

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Per-Pixel Classification is Not All You Need for Semantic Segmentation

Per-Pixel Classification is Not All You Need for Semantic Segmentation