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  1. Home
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  3. VADMamba++: Efficient Video Anomaly Detection via Hybrid Mod
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VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T20:55:34.875269+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

PDF: https://arxiv.org/pdf/2604.00360v1

Source count: 0

Coverage: 0%

Last proof check: 2026-04-02T20:55:34.875Z

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VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

Overall score: 7/10
Lineage: 3a8958f494ca…
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Canonical Paper Receipt

Last verification: 2026-04-02T20:55:34.875Z

Freshness: fresh

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References: 0

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Prior Work
SF-Mamba: Rethinking State Space Model for Vision
Score 7.0stable
Prior Work
AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware Mamba
Score 7.0stable
Prior Work
Geometric Transformation-Embedded Mamba for Learned Video Compression
Score 7.0stable
Prior Work
DLRMamba: Distilling Low-Rank Mamba for Edge Multispectral Fusion Object Detection
Score 7.0stable
Higher Viability
BuildMamba: A Visual State-Space Based Model for Multi-Task Building Segmentation and Height Estimation from Satellite Images
Score 8.0up
Higher Viability
Rotation Equivariant Mamba for Vision Tasks
Score 8.0up
Competing Approach
GridVAD: Open-Set Video Anomaly Detection via Spatial Reasoning over Stratified Frame Grids
Score 7.0stable
Competing Approach
MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection
Score 7.0stable

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