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Abstract: Object detection (OD) is a crucial computer vision task that has seen the development of many algorithms and models over the years. While the performance of current OD models has improved, ...

Humans are able to learn to recognize new objects even from a few examples. In contrast, training deep-learning-based object detectors requires huge amounts of annotated data. To avoid the need to ...

This repo contains the code for our paper: Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data PDF. Our approach accurately segments the scene into moving ...