Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection

H Cao, Z Zhang, Y Xia, X Li, J Xia, G Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
In frame-based vision, object detection faces substantial performance degradation under
challenging conditions due to the limited sensing capability of conventional cameras. Event …

A progressive segmentation network for navigable areas with semantic-spatial information flow

W Li, M Liao, W Zou - Expert Systems with Applications, 2024 - Elsevier
Segmentation of safe navigable areas is a crucial technology for scene parsing in autopilot
systems. However, existing segmentation methods often fail to adequately exploit the …

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition

L Chen, D Li, X Wang, P Shao, W Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Existing event stream-based pattern recognition models usually represent the event stream
as the point cloud, voxel, image, etc., and design various deep neural networks to learn their …

[PDF][PDF] Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection–Supplementary Material

H Cao, Z Zhang, Y Xia, X Li, J Xia, G Chen, A Knoll - ecva.net
DDD17. The vehicles in the DDD17 dataset were manually labeled by the authors of [11] to
create the PKU-DDD17-Car dataset for object detection tasks. Additional details about the …