This systematic review and meta-analysis assesses the global prevalence of unprescribed use of weight-loss products among children and adolescents.
Hence, during the ongoing training process, the incorporation of new capabilities and the fusion of existing and novel knowledge becomes a formidable challenge, even leading to forgetting (Lange et al., 2022). This could also explain the underperformance of Baichuan2-7B, LLaMAs, MOSS-Base-16B, ...
The primary challenge is that the traditional convolutional model is not capable of extracting long-range information from food images due to the dispersed arrangement of components. To gather more long-range features, a deeper CNN network is necessary, thus preventing the achievement of a light...
To address this challenge and strike a balance between feature richness and precision, we introduced attention gates and self-supervision into our model. These additions not only mitigate the impact of data augmentations on our in-house dataset but also guide the neural network to expand its featu...
Despite the outstanding performance of 2D object detection networks, generating 3D bounding boxes merely from the 2D image plane is a substantially more complicated challenge owing to the lack of absolute depth information [90]. Thus, the 2D-data-based techniques for 3D object detection can be ...
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