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Found 5 papers, 1 papers with code
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection
Popular Transformer networks have been successfully applied to remote sensing (RS) image change detection (CD) identifications and achieve better results than most convolutional neural networks (CNNs), but they still suffer from two main problems.
Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images
First, the existing multiscale feature fusion methods often use redundant feature extraction and fusion strategies, which often lead to high computational costs and memory usage.
Ranked #2 on
Change Detection
on DSIFN-CD
Building change detection for remote sensing images
Change Detection
+1
Delving into Rectifiers in Style-Based Image Translation
The AdaReLU can dynamically adjust the slope parameters according to the target style and can be utilized to increase the controllability by combining with Adaptive Instance Normalization (AdaIN).
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction
Motivated by this, an audio-visual collaborative representation learning method is proposed for the DSP task, which explores the audio modality to better predict the dynamic saliency map by assisting vision modality.
Bio-Inspired Representation Learning for Visual Attention Prediction
In this paper, a novel VAP method is proposed to generate visual attention map via bio-inspired representation learning.
