Sigma: Changing AI Perception with Multi-Modal Semantic Segmentation through a Siamese Mamba Network for Enhanced Environmental Understanding

In AI, searching for machines capable of comprehending their environment with near-human accuracy has led to significant advancements in semantic segmentation. This field, integral to AI’s perception capabilities, includes allocating a semantic label to each pixel in an image, facilitating a detailed understanding of the scene. However, conventional segmentation techniques often falter under less-than-ideal conditions, […]

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