EfficientMFD: Towards More Efficient Multimodal Synchronous Fusion Detection

arXiv:2403.09323v1 Announce Type: new
Abstract: Multimodal image fusion and object detection play a vital role in autonomous driving. Current joint learning methods have made significant progress in the multimodal fusion detection task combining the texture detail and objective semantic information. However, the tedious training steps have limited its applications to wider real-world industrial deployment. To address this limitation, we propose a novel end-to-end multimodal fusion detection algorithm, named EfficientMFD, to simplify models that exhibit decent performance with only one training …

abstract applications arxiv autonomous autonomous driving cs.cv current detection driving fusion however image information multimodal object progress role semantic texture training type vital world