In this paper, a novel and adaptive method is proposed for parameter identification and performance estimation of a photovoltaic (PV) module under varying ...

Such a computational complexity is prohibitively expensive in person Re-ID setting, where the number of input images can easily grow to several thousands during ...

Nov 24, 2021 · Mechanism to reduce the computation cost and model the ... Diverse part discovery: Occluded person re- identification With part-aware transformer.

Article "Reducing the Computational Cost of Transformers for Person Re-identification" Detailed information of the J-GLOBAL is an information service ...

Although effective in improving unsupervised Re-ID performance, these methods require substantial computational resources and introduce additional training ...

Mar 7, 2024 · (1) We propose an occluded pedestrian re-ID method based on Multiple Fusion and Semantic feature Mining (MFSM) that enables enhanced CNN ...

May 8, 2023 · Pruning is a straightforward way to reduce the model size and computation cost for ViT, and it has been widely used in CNNs for efficient models ...

Experimental results of TransReID are superior promising, which achieve state- of-the-art performance on both person and vehicle ReID benchmarks. Code is ...

Aug 24, 2023 · That is, Re-ID methods can reduce the frequency of detection and thereby significantly reduce computational costs for the entire pipeline.

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