... semantic priors. A weighted mask feature extraction module dynamically focuses the model’s attention on precise foreground regions, reducing the impact of background noise in low-data regimes. An enhanced feature fusion strategy bridges high-level semantic features and low-level structural details while...

... works of this article (for non-commercial purposes only), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence. Wood plank image grading real-time classification feature fusion...

... Feature fusion Multimodal semantic segmentation Semantic segmentation plays a pivotal role within the realm of remote-sensing image processing. Nevertheless, the semantic segmentation of remote sensing images is fraught with distinct technical intricacies when contrasted with its counterpart...

... Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited Speech emotion recognition Multitask learning Feature fusion Dimensional emotion Affective computing...

... in any medium, provided the original work is properly cited Hyperspectral image Classification Feature fusion Hyperspectral images (HSIs) contain hundreds of contiguous spectral bands ranging from visible to infrared bands, which can provide rich spectral information [ 1 ]. Compared...