1 citations · 3 across the 9 of their papers we have counts for
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Transformer for Multitemporal Hyperspectral Image Unmixing
Hang Li, Qiankun Dong, Xueshuo Xie +3
Multitemporal hyperspectral image unmixing (MTHU) holds significant importance in monitoring and analyzing the dynamic changes of surface. However, compared to single-temporal unmi…
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers
Yanfeng Jiang, Ning Sun, Xueshuo Xie +2
Vision Transformers (ViTs) have exhibited exceptional performance across diverse computer vision tasks, while their substantial parameter size incurs significantly increased memory…
Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
Zhenhuan Zhou, Along He, Yanlin Wu +3
In medical images, various types of lesions often manifest significant differences in their shape and texture. Accurate medical image segmentation demands deep learning models with…
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices
Xueshuo Xie, Haoxu Wang, Zhaolong Jian +4
Edge intelligence enables resource-demanding Deep Neural Network (DNN) inference without transferring original data, addressing concerns about data privacy in consumer Internet of…