Titlebook: Image and Graphics; 12th International C Huchuan Lu,Wanli Ouyang,Min Xu Conference proceedings 2023 The Editor(s) (if applicable) and The A

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Behavioural State Detection Algorithm for Infants and Toddlers Incorporating Multi-scale Contextual his paper proposes a behavioural state detection algorithm that incorporates multi-scale contextual features to achieve real-time monitoring of whether infants and toddlers are climbing, crawling, sitting, lying, standing (walking) and lost in a total of six states. To ensure the algorithm’s ability

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Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmarksion-based semantic understanding. However, there is still a lack of high-quality motion datasets for small bio-robotics, which presents more challenging scenarios for long-term movement prediction and behavior control based on third-person observation. In this study, we introduce RatPose, a bio-rob

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Dual Fusion Network for Hyperspectral Semantic Segmentatione application of hyperspectral images in autonomous driving is expected to become a reality. Hyperspectral images have higher dimensions and more information than RGB images, which brings the challenge of training with limited samples. It is not easy to train satisfactory semantic segmentation model

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Vision-Language Adaptive Mutual Decoder for OOV-STRut-of-vocabulary (OOV) words are of great importance and SOTA recognition models usually perform poorly on OOV settings. Inspired by the intuition that the learned language prior have limited OOV preformence, we design a framework named Vision Language Adaptive Mutual Decoder (VLAMD) to tackle OOV p