Real-time pedestrian detection with deep supervision in the wild
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1406-6
Abstract: Pedestrian detection is a challenging research task, and it is widely applied in automatic driving and intelligent surveillance fields. Although many approaches based on deep learning have shown effectiveness for detecting pedestrian, these approaches are… read more here.
Keywords: real time; deep supervision; pedestrian detection; module ... See more keywords
Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3161466
Abstract: Multimodal medical imaging plays a crucial role in the diagnosis and characterization of lesions. However, challenges remain in lesion characterization based on multimodal feature fusion. First, current fusion methods have not thoroughly studied the relative… read more here.
Keywords: fusion; deep supervision; multimodal fusion; attention guided ... See more keywords
Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3109237
Abstract: Building footprint information is one of the key factors for sustainable urban planning and environmental monitoring. Mapping building footprints from remote sensing images is an important and challenging task in the earth observation field. Over… read more here.
Keywords: remote sensing; building footprints; deep supervision; building ... See more keywords
Data-Driven Deep Supervision for Medical Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3143371
Abstract: Medical image segmentation plays a vital role in disease diagnosis and analysis. However, data-dependent difficulties such as low image contrast, noisy background, and complicated objects of interest render the segmentation problem challenging. These difficulties diminish… read more here.
Keywords: image segmentation; deep supervision; medical image; segmentation ... See more keywords
Cross-Attention and Deep Supervision UNet for Lesion Segmentation of Chronic Stroke
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.836412
Abstract: Stroke is an acute cerebrovascular disease with high incidence, high mortality, and high disability rate. Determining the location and volume of the disease in MR images promotes accurate stroke diagnosis and surgical planning. Therefore, the… read more here.
Keywords: cross attention; deep supervision; attention; stroke ... See more keywords