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In this paper, we address those two issues specifically by a) using a cardinality loss function designed to target inconsistencies at training time, and b) ...
In this paper, we focus on multi-modal semantic segmentation defined as the problem of labeling 3D point clouds and corresponding 2D images, captured ...
This paper addresses inconsistencies in the data between sensors resulting from misalignment, moving objects, or parallax effects by using a cardinality ...
The closest work to this paper is [34] , where the authors addressed domain mismatch problem by designing a specific cardinality loss function with an SSVM ...
In this paper, we address those two issues specifically by a) using a cardinality loss function designed to target inconsistencies at training time, and b) ...
2D-3D semantic segmentation using cardinality as higher-order loss. SR Namin, JM Alvarez, L Petersson. 2016 23rd International Conference on Pattern Recognition ...
2D-3D semantic segmentation using cardinality as higher-order loss · pdf icon · hmtl icon · Shahin Rahmatollahi Namin, Jose M. Alvarez, Lars Petersson.
2D-3D semantic segmentation using cardinality as higher-order loss. SR Namin ... Loss-Augmented Structured Learning for Semantic Labeling. SR Namin. PQDT ...
Nov 26, 2024 · 2D-3D semantic segmentation using cardinality as higher-order loss. ICPR 2016: 3775-3780; 2015. [c1]. view. electronic edition via DOI ...
Oct 22, 2024 · ... 2D-3D semantic labeling on 2D RGB images and 3D LIDAR data. They ... 2D-3D semantic segmentation using cardinality as higher-order loss.