Model filter pruning has shown efficiency in compressing deep convolutional neural networks by removing unimportant filters without sacrificing the pe...
publié le: 2023
Predicting future actions is an essential feature of intelligent systems and embodied AI. However, compared to the traditional recognition tasks, the...
Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings...
Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locat...
Pansharpening strives to improve the spatial resolution of multi-spectral images while maintaining spectral fidelity. However, existing methods usuall...