FCHP: Exploring the Discriminative Feature and Feature Correlation of Feature Maps for Hierarchical DNN Pruning and Compression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3170620
Abstract: Pruning can remove the redundant parameters and structures of Deep Neural Networks (DNNs) to reduce inference time and memory overhead. As one of the important components of DNN, feature maps (FMs) have been widely used… read more here.
Keywords: feature; discriminative feature; feature correlation; feature maps ... See more keywords
EFCOMFF-Net: A Multiscale Feature Fusion Architecture With Enhanced Feature Correlation for Remote Sensing Image Scene Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3255211
Abstract: Remote sensing images have the essential attribute of large-scale spatial variation and complex scene information, as well as the high similarity between various classes and the significant differences within the same class, which are easy… read more here.
Keywords: network; remote sensing; feature correlation; correlation ... See more keywords
A Lightweight Fusion Strategy With Enhanced Interlayer Feature Correlation for Small Object Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3457155
Abstract: Detecting small objects in drone imagery is challenging due to low resolution and background blending, leading to limited feature information. Multiscale feature fusion can enhance detection by capturing information at different scales, but traditional strategies… read more here.
Keywords: fusion strategy; information; fusion; feature correlation ... See more keywords