most citedEraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks

15 citations · 15 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2024

DiVE: DiT-based Video Generation with Enhanced Control

Junpeng Jiang, Gangyi Hong, Lijun Zhou +10

Generating high-fidelity, temporally consistent videos in autonomous driving scenarios faces a significant challenge, e.g. problematic maneuvers in corner cases. Despite recent vid…

cs.CV2017★ 15 cited

EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks

Xuanyi Dong, Guoliang Kang, Kun Zhan +1

For most state-of-the-art architectures, Rectified Linear Unit (ReLU) becomes a standard component accompanied with each layer. Although ReLU can ease the network training to an ex…