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Long Lan

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Articles by Long Lan

FOUND: Fourier-based von Mises Distribution for Robust Single Domain Generalization in Object Detection

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By ShanShan Wang, Shanshan Wang, Nan Yin, Long Lan, Changyuan Deng
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting

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By Jianchao Tang, Zhuo Li, Long Lan
| arXiv
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Dragon Boat Optimization: A Meta‐Heuristic for Intelligent Systems

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By Xiang Li, Long Lan, Husam Lahza, Shaowu Yang
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. References , , , et al. 2024. “A Review on Microgrid Optimization With Meta-Heuristic Techniques: Scopes, Trends and Recommendation.” Energy Strategy Reviews 51: 101298. https://doi.org/10.1016/j.esr.2024.101298. , and . 2002. “An Artificial Immune Network for Multimodal Function Optimization.” In Proceedings of the 2002 Congress on Evolutionary Computation CEC'02 (Cat No02TH8600) no. 1: 699–704. , , , , and . 2012.
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Instance-Level Scaling and Dynamic Margin-Alignment Knowledge Distillation for Remote Sensing Image Scene Classification

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By Chuan Li, Xiao Teng, Long Lan
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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NTCE-KD: Non-Target-Class-Enhanced Knowledge Distillation

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By Chuan Li, Xiao Teng, Long Lan
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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[2307.13981] Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models

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By Xiongkuo Min, Long Lan, Guangtao Zhai, Kede Ma
| arXiv
[Submitted on 26 Jul 2023 ( v1 ), last revised 3 Apr 2024 (this version, v2)] Title:Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models View a PDF of the paper titled Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models, by Wei Sun and Wen Wen and Xiongkuo Min and Long Lan and Guangtao Zhai and Kede Ma View PDF HTML (experimental) Abstract:Blind video quality assessment (BVQA) plays an indispensable role in monitoring and improving...
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RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

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By Xiao Teng, Long Lan
| arXiv
[Submitted on 3 Jul 2023 ( v1 ), last revised 2 Oct 2023 (this version, v2)] Title:RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation Download a PDF of the paper titled RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation, by Yonglin Li and Jing Zhang and Xiao Teng and Long Lan Download PDF Abstract:The Segment Anything Model (SAM) has gained significant attention for its impressive performance in image...
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Enhancing Online UAV Multi-Object Tracking with Temporal Context and Spatial Topological Relationships

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By Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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Learning to Purification for Unsupervised Person Re-identification

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By Xiao Teng, Xiang Zhang, Long Lan
| ncbi.nlm.nih.gov
Skip to main page content Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation Save citation to file Format: Add to My Bibliography Your saved search Name of saved search: Search terms: Frequency: Which day? Which day? Report format: Send at most: Send even when there aren't any new results Optional text in email: Create a file for external citation management software IEEE Trans Image Process. Display options Format doi: 10.1109/TIP.2023.3278860. Online ahead of print.
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