1 code implementation • 4 Mar 2023 • Zhenning Yang, Luoxi Meng, Jae-Won Chung, Mosharaf Chowdhury
Specifically, our solution observes real-time carbon intensity shifts during training and controls the energy consumption of GPUs, thereby reducing carbon footprint while maintaining training performance.
1 code implementation • 24 Feb 2022 • Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie Steadman, Audris Mockus
We evaluate our method on a large dataset of human decomposition images and find that our method, while conceptually simple, outperforms state-of-the-art consistency and pseudo-labeling-based methods for the segmentation of this dataset.
no code implementations • 20 May 2021 • Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie Steadman, Audris Mockus
Annotating images for semantic segmentation requires intense manual labor and is a time-consuming and expensive task especially for domains with a scarcity of experts, such as Forensic Anthropology.
1 code implementation • CVPR 2020 • Xin Sun, Zhenning Yang, Chi Zhang, Guohao Peng, Keck-Voon Ling
A typical challenge is that unknown samples may be fed into the system during the testing phase and traditional deep neural networks will wrongly recognize the unknown sample as one of the known classes.