Segment scene with semi-supervised learning using monocular depth estimation with DG

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Segment scene with semi-supervised learning using monocular depth estimation with DG

Depth-Guided Semi-Supervised Instance Segmentation
arXiv paper abstract https://arxiv.org/abs/2406.17413
arXiv PDF paper https://arxiv.org/pdf/2406.17413

Semi-Supervised Instance Segmentation (SSIS) aims to leverage an amount of unlabeled data during training.

… introduce a Depth-Guided (DG) SSIS framework … uses depth maps … from input images, which represent … instances with … distance values, offering … contours for … instances.

… propose Depth Feature Fusion, which integrates features … from depth estimation … allows the model to understand depth … better and ensure its effective utilization.

… to manage the variability of depth images during training, … introduce the Depth Controller.

This component enables adaptive adjustments of the depth map, enhancing convergence speed and dynamically balancing the loss weights between RGB and depth maps.

… approach establishes a new benchmark for SSIS, outperforming previous methods …

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A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.