Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...
While I found the config files and code for training and distilling DinoV3, as well as training the classification head and doing the text alignment, I didn't find training code for semantic ...
Abstract: To address complex semantic segmentation in coal mine areas, this study proposes the SAM-SEF (SAM-based Semantic Enhancement Framework). It integrates Semantic-SAM’s zero-shot segmentation ...
Abstract: 4D LiDAR semantic segmentation classifies the semantic category of each LiDAR point and detects whether it is dynamic, a critical ability for tasks like obstacle avoidance and autonomous ...
Underwater images segmentation is essential for tasks such as underwater exploration, marine environmental monitoring, and resource development. Nevertheless, given the complexity and variability of ...
Cohen, C., 2013: Semantic Code Analysis for Malware Code Deobfuscation. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
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