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Found 2 papers, 1 papers with code
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks
Specifically, we consider the following cases: i) both RGB data and thermal data, ii) only one of the types of data, and iii) none of them generate discriminative features.
Ranked #2 on
Thermal Image Segmentation
on Noisy RS RGB-T Dataset
Deep Depth Completion from Extremely Sparse Data: A Survey
Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map captured from a depth sensor, e. g., LiDARs.
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