DOMAIN ADAPTIVE SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES VIA SELF-TRAINING-BASED DUAL-LEVEL DATA AUGMENTATION

Domain Adaptive Semantic Segmentation of Remote Sensing Images via Self-Training-Based Dual-Level Data Augmentation

Semantic segmentation models experience a significant performance degradation due to domain shifts between the source and target domains.This issue is particularly prevalent in remote sensing imagery, where a semantic segmentation model trained on images from one satellite is tested on images from another.Previous research has often overlooked the

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Shorthand the representative performance in the theatrical festival performances of the education teams for teachers in primary schools , in secondary schools and artistic supervisors 2019 AD

Arts acts to reduce and exclude everything that is not necessary in the delivery of meaning, especially representative performance, which is based on the intensification of the physical and vocal actions, and in drawing the dimensions of the character.And because that, the artistic staff, among others in the ministry of education, are considered th

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Prediction of pollution flashover voltages of ceramic string insulators under uniform and non-uniform pollution conditions

Present paper emphasizes on the development Health Care and Hygiene Products of a new mathematical model to estimate the contamination flashover voltages of ceramic string insulators under varying uniform and non-uniform pollution conditions subjected to AC voltages.The proposed model is developed based on dimensional analysis of the factors which

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