TARIPlay detects and tracks viable interactive areas in AR playback videos using stability and visibility criteria, achieving 55.8% branch coverage on AR-related code versus 41.98% for Monkey across four apps and nine videos.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
MeCSAFNet reports mIoU gains of 4.8-19.6% over U-Net and SegFormer baselines on FBP and Potsdam datasets by processing spectral channels separately and fusing features with CBAM attention.
citing papers explorer
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TARIPlay: A Test Framework for AR Applications based on Interactive Area Tracking in Playback Videos
TARIPlay detects and tracks viable interactive areas in AR playback videos using stability and visibility criteria, achieving 55.8% branch coverage on AR-related code versus 41.98% for Monkey across four apps and nine videos.
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Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
MeCSAFNet reports mIoU gains of 4.8-19.6% over U-Net and SegFormer baselines on FBP and Potsdam datasets by processing spectral channels separately and fusing features with CBAM attention.