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Found 4 papers, 3 papers with code
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
To better extract detail spatial information, we propose a two-stage Feature-Enhanced Attention Network (FEANet) for the RGB-T semantic segmentation task.
Ranked #10 on
Semantic Segmentation
on FMB Dataset
Boosting Light-Weight Depth Estimation Via Knowledge Distillation
However, this KD process can be challenging and insufficient due to the large model capacity gap between the teacher and the student.
A Two-stage Unsupervised Approach for Low light Image Enhancement
However, most of them suffer from the following problems: 1) the need of pairs of low light and normal light images for training, 2) the poor performance for dark images, 3) the amplification of noise.
Low-Light Image Enhancement
Simultaneous Localization and Mapping
+1
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is how to efficiently and accurately perform multi-robot global localization (MR-GL).
