Search Results for author: Zhiyuan Yan

Found 13 papers, 6 papers with code

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection

1 code implementation CVPR 2024 Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu

Deepfake detection faces a critical generalization hurdle, with performance deteriorating when there is a mismatch between the distributions of training and testing data.

DeepFake Detection Face Swapping +1

Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing

1 code implementation19 Oct 2023 Hanbo Bi, Yingchao Feng, Zhiyuan Yan, Yongqiang Mao, Wenhui Diao, Hongqi Wang, Xian Sun

In addition, to prevent the co-existence of multiple classes in remote sensing scenes from exacerbating the collapse of FSS generalization, we also propose a new Known-class Meta Suppressor (KMS) module to suppress the activation of known-class objects in the sample.

Image Segmentation Semantic Segmentation

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

1 code implementation NeurIPS 2023 Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu

To fill this gap, we present the first comprehensive benchmark for deepfake detection, called DeepfakeBench, which offers three key contributions: 1) a unified data management system to ensure consistent input across all detectors, 2) an integrated framework for state-of-the-art methods implementation, and 3) standardized evaluation metrics and protocols to promote transparency and reproducibility.

DeepFake Detection Face Swapping

Multimodal Graph Learning for Deepfake Detection

no code implementations12 Sep 2022 Zhiyuan Yan, Peng Sun, Yubo Lang, Shuo Du, Shanzhuo Zhang, Wei Wang, Lei Liu

We evaluate the effectiveness of our method through extensive experiments on widely-used benchmarks and demonstrate that our method outperforms the state-of-the-art detectors in terms of generalization ability and robustness against unknown disturbances.

DeepFake Detection Face Swapping +2

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer

no code implementations17 May 2022 Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang

Additionally, the pre-trained model provided by H-ADMET can be fine-tuned to generate new and customised ADMET endpoints, meeting various demands of drug research and development requirements.

Drug Discovery Self-Supervised Learning +1

The Vehicle Trajectory Prediction Based on ResNet and EfficientNet Model

no code implementations24 Jan 2022 Ruyi Qu, Shukai Huang, Jiexuan Zhou, ChenXi Fan, Zhiyuan Yan

But, the depth, width of the network and image resolution are still important reasons that restrict the accuracy of the model and the prediction results.

Trajectory Prediction

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

no code implementations9 Mar 2021 Xian Sun, Peijin Wang, Zhiyuan Yan, Feng Xu, Ruiping Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Cheng Wang, Kun fu

In this paper, we propose a novel benchmark dataset with more than 1 million instances and more than 15, 000 images for Fine-grAined object recognItion in high-Resolution remote sensing imagery which is named as FAIR1M.

Object object-detection +2

Inference with Hybrid Bio-hardware Neural Networks

no code implementations28 May 2019 Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan

This paper studies whether a bio-plausible model of a in vitro living neural network can be used to perform machine learning tasks and achieve good inference accuracy.

Handwritten Digit Recognition Image Classification +2

A Supervised STDP-based Training Algorithm for Living Neural Networks

no code implementations30 Oct 2017 Yuan Zeng, Kevin Devincentis, Yao Xiao, Zubayer Ibne Ferdous, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky

Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.

BIG-bench Machine Learning Drug Discovery +7

Modified Euclidean Algorithms for Decoding Reed-Solomon Codes

1 code implementation22 Jun 2009 Dilip V. Sarwate, Zhiyuan Yan

The extended Euclidean algorithm (EEA) for polynomial greatest common divisors is commonly used in solving the key equation in the decoding of Reed-Solomon (RS) codes, and more generally in BCH decoding.

Information Theory Information Theory

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