CLPSTNet

CLPSTNet: 커리큘럼 학습을 통합한 점진적 다중 스케일 컨볼루셔널 스테가노그래피 모델 Fengchun Liu; Tong Zhang; Chunying Zhang 이 저장소는 "CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning" 논문의 공식 구현을 포함합니다. 소개 CLPSTNet은 커리큘럼 학습Curriculum Learning을 통합한 점진적 다중 스케일 컨볼루셔널 스테가노그래피 네트워크...

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation

Instance segmentation of ships in synthetic aperture radar SAR imagery is critical for applications such as maritime monitoring, environmental analysis, and national security. SAR ship images present challenges including scale variation, object density, and fuzzy target boundary, which are often...

CLPSTNet: a Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning

In recent years, a large number of works have introduced Convolutional Neural Networks CNNs into image steganography, which transform traditional steganography methods such as hand-crafted features and prior knowledge design into steganography methods that neural networks autonomically learn...