[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
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Updated
Apr 24, 2024 - Python
[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
Source code for <Thinking Fast and Slow - A novel multi-region computational-modelling framework for conceptual knowledge learning and consolidation> (WIP)
Dual-stream deep learning architecture for deepfake detection combining spatial (RGB) and frequency-domain (DCT) analysis with CBAM attention mechanisms.
Dual-stream deepfake detector in PyTorch: ConvNeXt-Small spatial stream + ResSE-Spectral Tower (SRM/Bayar/FFT) frequency stream with SNR-adaptive gating, fused into a Bi-GRU video head. Zero-leakage identity splits, calibrated 3-zone thresholds, Grad-CAM diagnostics. Video AUC 0.872, LOTO macro-AUC 0.897, 60.9 FPS on T4.
Ensemble-based NIDS featuring Dual-Stream Feature Aggregation Network (DSFANet).
Owner-led Ascend split-batch and full-graph parallel execution research carrier
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