Automotive Object Detection via Learning Sparse Events by Spiking Neurons

no code implementations • 24 Jul 2023 • Hu Zhang, Yanchen Li, Luziwei Leng, Kaiwei Che, Qian Liu, Qinghai Guo, Jianxing Liao, Ran Cheng

Traditional object detection techniques that utilize Artificial Neural Networks (ANNs) face challenges due to the sparse and asynchronous nature of the events these sensors capture.

Event-based vision object-detection +1

A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs

1 code implementation • 29 Jul 2022 • Yanchen Li, Qingzhong Ai, Fumihiko Ino

In this study, we propose a one-shot reparameterization method, called TileTrans, to reduce the loss of tile pruning.