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Found 4 papers, 1 papers with code
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
To address these challenges, we propose a saliency-guided approach that leverages attention information to improve the performance of LiDAR odometry estimation and semantic segmentation models.
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
We first use the proposed feedback model to learn saliency distribution from pseudo-ground-truth.
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks
This paper presents an efficient object detection method from satellite imagery.
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation
The Earth observation satellites have been monitoring the earth's surface for a long time, and the images taken by the satellites contain large amounts of valuable data.
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