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Li Shi

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Preprint Aug 2026

FeedbackTrack: Visual-Cortex-Inspired Cross-Frame Feedback for Transformer Tracking

Visual object tracking requires effective temporal integration, yet most Transformer trackers still rely on predominantly feed-forward feature extraction. Existing temporal mechanisms typically update templates, prompts, queries, or prediction states, while intermediate representations are rarely reused to modulate cor...

Yueyang Cang, Xiao-Teng Zhang, Zhiyuan Ning et al. · 0 citations
#artificial intelligence Preprint Sep 2026

RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

Overall, RATL shifts the retrieved object from historical target values to base-model-specific historical forecast errors, providing a plug-in, residual-memory-based paradigm for learned feedback correction in continuous-output forecasting.

Yu-Chen He, Yueyang Cang, Zhi-Yuan Ning et al. · 0 citations

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