Abstract: Accurate segmentation of 3D point clouds in indoor scenes remains a challenging task, often hindered by the labor-intensive nature of data annotation. While weakly supervised learning ...
LOS ANGELES, CA, UNITED STATES, January 22, 2026 /EINPresswire.com/ — INTERDEPENDENT today announced the activation of its studio–technology flywheel with a ...
Abstract: Open-vocabulary semantic segmentation aims to assign pixel-level labels using arbitrary text queries, but existing CLIP-based methods often produce diffuse similarity maps and struggle with ...
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