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T. Neha

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Open access Sep 2026

Cross temporal adaptive feature fusion for intelligent multi class surveillance crime recognition

The proposed ACTAF-Net provides an adaptive spatiotemporal representation by jointly exploiting multi-scale spatial cues, complementary temporal dependencies, cross-temporal interactions, and reliability-aware feature fusion for robust surveillance-based crime recognition.

T. Neha, Vasumathi Devara · 0 citations

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