no code implementations • 28 Dec 2023 • Cheng-En Wu, Azadeh Davoodi, Yu Hen Hu
This paper presents a novel approach to network pruning, targeting block pruning in deep neural networks for edge computing environments.
1 code implementation • ICCV 2023 • Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang
Vision-language models such as CLIP learn a generic text-image embedding from large-scale training data.
1 code implementation • 20 Jan 2022 • Cheng-En Wu, Farley Lai, Yu Hen Hu, Asim Kadav
Implementation-wise, CPR is complementary to pretext tasks and can be easily applied to previous work.
1 code implementation • 7 Dec 2020 • Cheng-Hao Tu, Cheng-En Wu, Chu-Song Chen
Although CondConv is effective for the performance enhancement of a deep model, it is currently applied to individual tasks only.
Ranked #1 on Continual Learning on Flowers (Fine-grained 6 Tasks)
1 code implementation • NeurIPS 2019 • Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen
First, it can avoid forgetting (i. e., learn new tasks while remembering all previous tasks).
no code implementations • 15 Oct 2019 • Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen
It is hard to detect on-road objects under various lighting conditions.