Cross-domain dynamic routing decoders for multi-domain generalization in ultrasound imaging. [PDF]
Wu Z +7 more
europepmc +1 more source
Spatial domain identification method based on multi-view graph convolutional network and contrastive learning. [PDF]
Liang X +7 more
europepmc +1 more source
MPLNet: Mamba prompt learning network for semantic segmentation of remote sensing images of traditional villages. [PDF]
Zhang C, Liu P, Teng J, Liu C.
europepmc +1 more source
Liver Tumor Segmentation Based on Multi-Scale Deformable Feature Fusion and Global Context Awareness. [PDF]
Zhang C +5 more
europepmc +1 more source
Integration of Multiframe and Multichannel Residual Attention Models for Mine Water Hazard Video Feature Recognition. [PDF]
Zhang S +9 more
europepmc +1 more source
C-FCN: Corners-based fully convolutional network for visual object detection
Object detection has achieved significantly progresses in recent years. Proposal-based methods have become the mainstream object detectors, achieving excellent performance on accurate recognition and localization of objects. However, region proposal generation is still a bottleneck.
Lin Jiao, Rujing Wang, Chengjun Xie
openalex +2 more sources
Ellipse-FCN: Oil Tanks Detection from Remote Sensing Images with Fully Convolution Network
Oil is an essential asset for every country, and plays a key role in world trade system. The detection of oil tanks is a very important task for both military and commerce. Recently, researchers have shown an increasing interest in oil tanks detection in remote sensing imagery.
Ziteng Cui +4 more
openalex +2 more sources
Text or Non-text Image Classification using Fully Convolution Network (FCN)
The semantic information in a natural scene plays a vital role in image understanding. One of the semantic information present in a natural image is the text. It can be utilized for analyzing several computer vision applications. The proposed work focuses on the new task of classifying the text images from a bulk of natural images.
Neeraj Gupta, Anand Singh Jalal
openalex +2 more sources
L-FCN: A lightweight fully convolutional network for biomedical semantic segmentation
For the past few years, deep learning-based methods have been widely used in the field of biomedical imaging. In biomedical image processing, the typical application of deep learning is semantic segmentation. However, the classical deep learning methods require higher hardware consumption and computational costs.
Kaiyue Li, Guangtai Ding, Haitao Wang
openalex +2 more sources

