has been cited by the following article(s):
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[1]
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An Ultralightweight Multidomain Feature Extraction Network With Cross Spatial–Spectral Attention for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2026
DOI:10.1109/JSTARS.2025.3646025
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[2]
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AssemPrompt: A lightweight multi-module collaborative framework for efficient and accurate medical image segmentation
Applied Soft Computing,
2026
DOI:10.1016/j.asoc.2026.114801
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[3]
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Phase Congruency-Guided Cross-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images
Remote Sensing,
2026
DOI:10.3390/rs18111847
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[4]
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A VIN-Specific Empirical Study of Data Augmentation Effects on Sequence-Level OCR Reliability
2026 IEEE 23rd International Multi-Conference on Systems, Signals & Devices (SSD),
2026
DOI:10.1109/SSD69655.2026.11559012
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[5]
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Research on lightweight convolutional neural network based on group convolution
Proceedings of the 2025 6th International Conference on Computer Information and Big Data Applications,
2025
DOI:10.1145/3746709.3746722
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[6]
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Spatial Dynamic Perception Network for Image Classification
2025 International Conference on Signal Processing, Computer Networks and Communications (SPCNC),
2025
DOI:10.1109/SPCNC68200.2025.11406710
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[7]
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Residual Hybrid Attention based Deep Feature Fusion Network for Haze Removal
2025 IEEE Recent Advances in Intelligent Computational Systems (RAICS),
2025
DOI:10.1109/RAICS66191.2025.11332585
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[8]
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LitSpikingNet: A Lightweight Attention-Enhanced Spiking Neural Network for Medical Image Classification
2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
2025
DOI:10.1109/BIBM66473.2025.11357172
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