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MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
Large Vision-Language Models (LVLMs) show significant strides in general-purpose multimodal applications such as visual dialogue and …
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MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View
This paper aims to explain the generalization of deepfake detectors from the novel perspective of multi-order interactions among visual …
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Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
In this paper, we analyse the generalization ability of binary classifiers for the task of deepfake detection. We find that the …
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Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
Explaining Deepfake Detection by Analysing Image Matching
This paper aims to interpret how deepfake detection models learn artifact features of images when just supervised by binary labels. To …
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Explaining Deepfake Detection by Analysing Image Matching
Interpretable Generative Adversarial Networks
Learning a disentangled representation is still a challenge in the field of the interpretability of generative adversarial networks …
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Interpretable Generative Adversarial Networks