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