Search Results for author: Zhenning Yang

Found 4 papers, 3 papers with code

Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training

1 code implementation4 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.

SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images

1 code implementation24 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.

Semi-Supervised Semantic Segmentation

Pseudo Pixel-level Labeling for Images with Evolving Content

no code implementations20 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.

Pseudo Label Semantic Segmentation

Conditional Gaussian Distribution Learning for Open Set Recognition

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.

General Classification Open Set Learning

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