Jul 24, 2020 · A novel and effective end-to-end framework based on teacher-student model namely NLD is proposed for noisy labels distillation. NLD can ...
Detailed Record. Title: Remote Sensing Image Scene Classification with Noisy Label Distillation. Language: English; Authors: Zhang ...
To address these problems, this study proposes a novel noisy label distillation method (NLD) based on the end-to-end teacher-student framework. First, unlike ...
To address these problems, this study proposes a novel noisy label distillation method (NLD) based on the end-to-end teacher-student framework. First, unlike ...
paper code "Remote Sensing Image Scene Classification with Noisy Label Distillation" ...
paper code "Remote Sensing Image Scene Classification with Noisy Label Distillation" ...
Dec 11, 2023 · Their aim is to learn the relationships between RS scenes and irrelevant semantics, model the links between clean RS scenes and their labels, ...
Remote sensing image scene classification with noisy label distillation. ... Learning deep networks under noisy labels for remote sensing image scene ...
Zero-shot remote sensing scene classification aims to solve the scene classification problem on unseen categories and has attracted numerous research ...
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Sep 18, 2024 · This approach exemplifies data distillation by effectively utilizing knowledge from noisy data to improve classification performance in RS image ...