Frequency|Aware Attentional Feature Fusion for Deepfake Detection

Frequency-Aware Attentional Feature Fusion for Deepfake Detection

Specially, we first introduce a channel attention module to assemble local and global contexts to overcome the potential semantic inconsistency on local ...

Frequency-Aware Attentional Feature Fusion for Deepfake Detection

FREQUENCY-AWARE ATTENTIONAL FEATURE FUSION FOR DEEPFAKE DETECTION. Cheng Tian1. Zhiming Luo1∗. Guimin Shi2. Shaozi Li1. 1Department of Artificial Intelligence ...

Frequency-Aware Attentional Feature Fusion for Deepfake Detection

Conclusions Our findings suggest that deep features significantly enhance the detection of EGFR-sensitizing mutations, especially those extracted with ResNet.

Spatial-frequency feature fusion based deepfake detection through ...

Attention-guided fusion improves feature ... Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection.

Deepfakes Detection with Frequency Enhanced Self-Blended Images

The resulting features are fused and fed into a Convolutional Neural Network ... Multi-attentional deepfake detection. In Proceedings of the IEEE/CVF ...

Attentional Feature Fusion - CVF Open Access

This gives rise to the question if a network can dy- namically and adaptively fuse the received features in a contextual scale-aware way. Motivated by the above ...

Towards Generalizable Deepfake Video Detection with Thumbnail ...

... frequency features to ... Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection.

厦门大学平台管理系统LZM

罗志明,LZM,厦门大学平台管理系统, Frequency-Aware Attentional Feature Fusion for Deepfake Detection罗志明,

Deepfake Detection Based on the Adaptive Fusion of Spatial

Furthermore, we introduce an adaptive feature fusion module that integrates the RGB color features of the image with the composite frequency domain features, ...

Catching Domain-Wise Independent Clues for Deepfake Detection

Frequency-Aware Attentional Feature Fusion for Deepfake Detection. ... Thinking in frequency: Face forgery detection by mining frequency-aware ...

Deepfake Detection Based on the Adaptive Fusion of Spatial ...

These complementary feature representations are then concatenated to obtain a composite frequency domain feature set. Furthermore, we introduce ...

Daisy-Zhang/Awesome-Deepfakes-Detection - GitHub

Frequency-Aware Discriminative Feature Learning Supervised by Single-Center ... AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection, CVPR 2024: Paper ...

Multi-feature fusion based face forgery detection with local ... - PLOS

Multi-attentional Deepfake Detection. Proceedings of the IEEE/CVF ... Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues.

AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection

Similarly, [55] extracts spatial features by means of an attention-based network and ... audio frames and mel-frequency bins. In xv, the (Tv,. H, W, C) ...

(PDF) Deepfake Detection Based on the Adaptive Fusion of Spatial ...

... frequency-aware cues to enhance deepfake detection. First, we ... feature fusion module has two. inputs: the composite frequency domain feature ...

Two-Stream Xception Structure Based on Feature Fusion for ...

[21] proposed frequency-aware discriminative feature learning for face forgery detection. ... attentional deepfake detection. In: IEEE/CVF ...

Spatial-frequency feature fusion based deepfake detection through ...

This branch extracts spa- tial and frequency domain features from the input image and fuses them under attention guidance. In contrast to ...

Boosting Deepfake Detection Features with Attention Units

IMPROVED XCEPTION WITH DUAL ATTENTION MECHANISM AND FEATURE FUSION ... Thinking in frequency: Face forgery detection by mining frequency-aware ...

Frequency Domain Filtered Residual Network for Deepfake Detection

deepfake detection; neural networks; wavelet transform; frequency domain features; feature fusion ... Frequency-aware Discriminative Feature ...

MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion

The DeepFake detection method fused with attention mechanism is proposed ... Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues.