Search Results for author: Sheldon Fung

Found 3 papers, 1 papers with code

DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning

no code implementations23 Apr 2021 Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li

Extensive experiments show that our unsupervised learning method enables comparable detection performance to state-of-the-art supervised techniques, in both the intra- and inter-dataset settings.

Contrastive Learning DeepFake Detection +1

I-Nema: A Biological Image Dataset for Nematode Recognition

1 code implementation15 Mar 2021 Xuequan Lu, Yihao Wang, Sheldon Fung, Xue Qing

In this paper, we identify two main bottlenecks: (1) the lack of a publicly available imaging dataset for diverse species of nematodes (especially the species only found in natural environment) which requires considerable human resources in field work and experts in taxonomy, and (2) the lack of a standard benchmark of state-of-the-art deep learning techniques on this dataset which demands the discipline background in computer science.

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