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Found 4 papers, 1 papers with code
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications
Radar and camera fusion yields robustness in perception tasks by leveraging the strength of both sensors.
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection
In addition, we introduce a Multi-Task Cross-Modality Attention-Fusion Network (MCAF-Net) for object detection, which includes two new fusion blocks.
Utilizing Explainable AI for improving the Performance of Neural Networks
To address this, Explainable Artificial Intelligence (XAI) has been developing as a field that aims to improve the transparency of the model and increase their trustworthiness.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar
In this paper, we introduce the Label-Aware Ranked loss, a novel metric loss function.
