Inshore Dense Ship Detection in SAR Images Based on Edge Semantic Decoupling and Transformer
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3277013
Abstract: Synthetic aperture radar ship detection has recently received significant attention from scholars. However, accurately distinguishing between ships is challenging due to the significant overlap between inshore ship labels. In addition, some labeled boxes contain interference… read more here.
Keywords: semantic decoupling; inshore dense; edge semantic; detection ... See more keywords
High-Order Semantic Decoupling Network for Remote Sensing Image Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3249230
Abstract: Low-order features based on convolution kernel are easy to be distorted when encountering dramatic view angle transformation and atmospheric scattering in remote sensing (RS) images. To address this concern, this article first proposes to operate… read more here.
Keywords: semantic decoupling; remote sensing; high order; segmentation ... See more keywords
SDN: Semantic Decoupling Network for Temporal Language Grounding.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3211850
Abstract: Temporal language grounding (TLG) is one of the most challenging cross-modal video understanding tasks, which aims at retrieving the most relevant video segment from an untrimmed video according to a natural language sentence. The existing… read more here.
Keywords: semantic decoupling; proposal free; temporal language; proposal ... See more keywords