ENTITY
RGB-D semantic segmentation
RGB-D semantic segmentation
PulseAugur coverage of RGB-D semantic segmentation — every cluster mentioning RGB-D semantic segmentation across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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New URNet architecture boosts RGB-D semantic segmentation efficiency
Researchers have introduced URNet, a novel network designed for efficient RGB-D semantic segmentation. This unified network integrates multi-modal feature extraction and cross-modal fusion within a single encoder, unlik…
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New Condition Dropout method boosts RGB-D segmentation robustness
Researchers have developed a new method called Condition Dropout (ConD) to improve the robustness of RGB-D semantic segmentation models. These models typically require both RGB and depth data, but practical sensor failu…