Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
Abstract: We investigate batch active learning within a pool-based model for object detection in driving videos (ODDV). This paper proposes a novel diversity sampling method that uses time-of-day ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results