Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.050
Abstract: Abstract Ship detection plays a crucial role in remote sensing image processing, which has drawn great attention in recent years. A novel neural network architecture named squeeze excitation skip-connection path networks (SESPNets) is proposed. A… read more here.
Keywords: connection; skip connection; ship detection; squeeze excitation ... See more keywords
Bi-directional skip connection feature pyramid network and sub-pixel convolution for high-quality object detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.01.021
Abstract: Abstract In existing state-of-the-art object detectors, feature pyramid networks (FPN) and multiscale feature fusion are still typically used. The traditional FPN fusion strategy is based on the top-down fusion of high-level semantic information. The top-down… read more here.
Keywords: skip connection; fusion; feature; directional skip ... See more keywords
A segmentation network for enhancing autonomous driving scene understanding using skip connection and adaptive weighting
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-20592-8
Abstract: With the rapid development of autonomous driving technology, accurate and efficient scene understanding has become particularly important. Semantic segmentation technology for autonomous driving aims to accurately identify and segment elements such as roads, sidewalks, and… read more here.
Keywords: segmentation; segmentation network; skip connection; scene understanding ... See more keywords
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac468
Abstract: Exiting computational models for drug-target binding affinity prediction have much room for improvement in prediction accuracy, robustness and generalization ability. Most deep learning models lack interpretability analysis and few studies provide application examples. Based on… read more here.
Keywords: mrbdta; drug target; target binding; drug ... See more keywords
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175864
Abstract: In this work we introduce a biologically inspired long-range skip connection for the UNet architecture that relies on the perceptual illusion of hybrid images, being images that simultaneously encode two images. The fusion of early… read more here.
Keywords: biologically inspired; skip connection; skip; connection unet ... See more keywords
A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3406786
Abstract: Recent methods often introduce attention mechanisms into the skip connections of U-shaped networks to capture features. However, these methods usually overlook spatial information extraction in skip connections and exhibit inefficiency in capturing spatial and channel… read more here.
Keywords: segmentation; attention; skip connection; channel ... See more keywords
SDSC-UNet: Dual Skip Connection ViT-Based U-Shaped Model for Building Extraction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3270303
Abstract: Benefiting from effective global information interaction, vision transformers (ViTs) have been widely used in the building extraction task. However, buildings in remote sensing (RS) images usually differ greatly in size. Mainstream ViT-based segmentation models for… read more here.
Keywords: information; dual skip; vit; model ... See more keywords
Lightweight Infrared Small Target Detection Network Using Full-Scale Skip Connection U-Net
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3276326
Abstract: In order to improve detection performance in a U-net-based IR small target detection (IRSTD) algorithm, it is crucial to fuse low- and high-level features. Conventional algorithms perform feature fusion by adding a convolution layer to… read more here.
Keywords: full scale; target detection; detection; net ... See more keywords
A Skip Connection Generative Adversarial Network With EEG Background Noise for Motor Imagery Decoding
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3522618
Abstract: EEG decoding is a key for motor imagery-based brain-computer interfaces (MI-BCIs) to decode people’s motor intentions, holding a broad potential in medical rehabilitation. However, the amount of MI EEG data is often small because of… read more here.
Keywords: background noise; skip connection; network; eeg background ... See more keywords
Lightweight deep and cross residual skip connection separable CNN for plant leaf diseases classification
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.33.3.033035
Abstract: Abstract. Crop diseases have an adverse effect on the yield, productivity, and quality of agricultural produce, which threatens the safety and security of the global feature of food supply. Addressing and controlling plant diseases through… read more here.
Keywords: plant; cross residual; residual skip; skip connection ... See more keywords