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Adaptive deep clustering integrating DINOv2 embeddings, graph attention, and bio-inspired optimization. [PDF]

Sci Rep
Abdrabo M, Refaat H, Abdallah M, Farouk O.   +3 more
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Modeling urban land density with Gaussian and inverse S functions by analyzing urban expansion in Zhengzhou City. [PDF]

Sci Rep
Gao H, Qiao X, Yang Y, Liu L, Zhang J, Zhou H, Zheng Q.   +6 more
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Pattern diversify patch antenna for sub-6 GHz 5G communication applications. [PDF]

Sci Rep
Iqbal K, Hassan A, Khan QU, Muddassir M, Althuwayb AA.   +4 more
europepmc   +1 more source

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En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning

Computer Vision and Pattern Recognition, 2022
Generalized zero-shot learning (GZSL) requires a classifier trained on seen classes that can recognize objects from both seen and unseen classes. Due to the absence of unseen training samples, the classifier tends to bias towards seen classes.
X. Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu   +7 more
semanticscholar   +1 more source

Separability and Compactness Network for Image Recognition and Superresolution

IEEE Transactions on Neural Networks and Learning Systems, 2019
Convolutional neural networks (CNNs) have wide applications in pattern recognition and image processing. Despite recent advances, much remains to be done for CNNs to learn a better representation of image samples. Therefore, constant optimizations should
Liguo Zhou, Zhongyuan Wang, Yimin Luo, Zixiang Xiong   +3 more
semanticscholar   +1 more source