The KITTI Vision Benchmark Suite

We have introduced a novel multi-modal fusion
scheme called mmFUSION for 3D object detection.
This scheme transforms modality-specific
information into lower-volume 3D representations
through dedicated encoders and then fuses them
using carefully designed cross-modality and multi-
modality attention modules. Unlike existing early
and late fusion schemes, which often fail to align
diverse modalities and lead to semantic
ambiguities, our intermediate-level transformation
effectively preserves the geometric and semantic
information of 3D objects.

TBD

@article{ahmad2023mmfusion,
title={mmFUSION: Multimodal Fusion for 3D Objects
Detection},
author={Ahmad, Javed and Del Bue, Alessio},
journal={arXiv preprint arXiv:2311.04058},
year={2023}
}