Zobrazeno 1 - 10
of 667
pro vyhledávání: '"Zhao Zhicheng"'
Publikováno v:
International Journal of Photoenergy, Vol 2024 (2024)
In recent years, solar photovoltaic (PV) energy, as a clean energy source, has received widespread attention and experienced rapid growth worldwide. However, the rapid growth of PV power deployment also brings important challenges to the maintenance
Externí odkaz:
https://doaj.org/article/421b06ec8bfd41e89ead36a5a5f12f13
Autor:
Chen, Lan, Yang, Haoxiang, Shao, Pengpeng, Song, Haoyu, Wang, Xiao, Zhao, Zhicheng, Wang, Yaowei, Tian, Yonghong
Pattern recognition leveraging both RGB and Event cameras can significantly enhance performance by deploying deep neural networks that utilize a fine-tuning strategy. Inspired by the successful application of large models, the introduction of such la
Externí odkaz:
http://arxiv.org/abs/2412.20064
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Recent Anomaly Detection (AD) methods have achieved great success with In-Distribution (ID) data. However, real-world data often exhibits distribution shift, causing huge performance decay on traditional AD methods. From this perspective, few previou
Externí odkaz:
http://arxiv.org/abs/2412.10115
Recently, diffusion-based video generation models have achieved significant success. However, existing models often suffer from issues like weak consistency and declining image quality over time. To overcome these challenges, inspired by aesthetic pr
Externí odkaz:
http://arxiv.org/abs/2412.09389
Remote Sensing Visual Question Answering (RSVQA) has gained significant research interest. However, current RSVQA methods are limited by the imaging mechanisms of optical sensors, particularly under challenging conditions such as cloud-covered and lo
Externí odkaz:
http://arxiv.org/abs/2411.15770
Composed Image Retrieval (CIR) is a challenging vision-language task, utilizing bi-modal (image+text) queries to retrieve target images. Despite the impressive performance of supervised CIR, the dependence on costly, manually-labeled triplets limits
Externí odkaz:
http://arxiv.org/abs/2410.23736
Optics-guided Thermal UAV image Super-Resolution (OTUAV-SR) has attracted significant research interest due to its potential applications in security inspection, agricultural measurement, and object detection. Existing methods often employ single gui
Externí odkaz:
http://arxiv.org/abs/2410.20466
Event camera-based visual tracking has drawn more and more attention in recent years due to the unique imaging principle and advantages of low energy consumption, high dynamic range, and dense temporal resolution. Current event-based tracking algorit
Externí odkaz:
http://arxiv.org/abs/2408.10487
Multi-Object Tracking (MOT) aims to detect and associate all targets of given classes across frames. Current dominant solutions, e.g. ByteTrack and StrongSORT++, follow the hybrid pipeline, which first accomplish most of the associations in an online
Externí odkaz:
http://arxiv.org/abs/2406.13271
Brain decoding, which aims at reconstructing visual stimuli from brain signals, primarily utilizing functional magnetic resonance imaging (fMRI), has recently made positive progress. However, it is impeded by significant challenges such as the diffic
Externí odkaz:
http://arxiv.org/abs/2405.15278