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A New Framework for Multiple Deep Correlation Filters Based Object Tracking.

, , , , и . ICASSP, стр. 1670-1674. IEEE, (2022)

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Yanjie Pang

Yanjie Zhang

Yanjie Gan

Yanjie Chao

Liang Liang

 

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A New Framework for Multiple Deep Correlation Filters Based Object Tracking., , , , и . ICASSP, стр. 1670-1674. IEEE, (2022)A Methodology for Accuracy Assessment of Information Quality in the Processing Production System., , , , и . ICIQ, (2017)Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking., , , , и . CoRR, (2020)Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking., , , , и . ACM Multimedia, стр. 473-481. ACM, (2019)Collaborative Response Content Recommendation for Customer Service Agents., , , , , , , и . ISNN (1), том 10261 из Lecture Notes in Computer Science, стр. 36-43. Springer, (2017)Robust Correlation Filter Tracking with Shepherded Instance-Aware Proposals., , , , и . ACM Multimedia, стр. 420-428. ACM, (2018)Correlation Filter Tracking with Adaptive Proposal Selection for Accurate Scale Estimation., , , и . ICME, стр. 1816-1821. IEEE, (2019)Bounding Box Distribution Learning and Center Point Calibration for Robust Visual Tracking., , , , и . ICASSP, стр. 4718-4722. IEEE, (2022)Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning., , , , и . MMAsia, стр. 58:1-58:6. ACM, (2019)Siamese Template Diffusion Networks for Robust Visual Tracking., , , и . ICME, стр. 1-6. IEEE, (2022)