Image segmentation using deep learning: A survey
Image segmentation is a key task in computer vision and image processing with important
applications such as scene understanding, medical image analysis, robotic perception …
applications such as scene understanding, medical image analysis, robotic perception …
Segnext: Rethinking convolutional attention design for semantic segmentation
We present SegNeXt, a simple convolutional network architecture for semantic
segmentation. Recent transformer-based models have dominated the field of se-mantic …
segmentation. Recent transformer-based models have dominated the field of se-mantic …
Rethinking semantic segmentation: A prototype view
Prevalent semantic segmentation solutions, despite their different network designs (FCN
based or attention based) and mask decoding strategies (parametric softmax based or pixel …
based or attention based) and mask decoding strategies (parametric softmax based or pixel …
SegFormer: Simple and efficient design for semantic segmentation with transformers
We present SegFormer, a simple, efficient yet powerful semantic segmentation framework
which unifies Transformers with lightweight multilayer perceptron (MLP) decoders …
which unifies Transformers with lightweight multilayer perceptron (MLP) decoders …
Semi-supervised medical image segmentation through dual-task consistency
Deep learning-based semi-supervised learning (SSL) algorithms have led to promising
results in medical images segmentation and can alleviate doctors' expensive annotations by …
results in medical images segmentation and can alleviate doctors' expensive annotations by …
Uncertainty-aware joint salient object and camouflaged object detection
Visual salient object detection (SOD) aims at finding the salient object (s) that attract human
attention, while camouflaged object detection (COD) on the contrary intends to discover the …
attention, while camouflaged object detection (COD) on the contrary intends to discover the …
Coarse-to-fine feature mining for video semantic segmentation
The contextual information plays a core role in semantic segmentation. As for video
semantic segmentation, the contexts include static contexts and motional contexts …
semantic segmentation, the contexts include static contexts and motional contexts …
CCTNet: Coupled CNN and transformer network for crop segmentation of remote sensing images
Semantic segmentation by using remote sensing images is an efficient method for
agricultural crop classification. Recent solutions in crop segmentation are mainly deep …
agricultural crop classification. Recent solutions in crop segmentation are mainly deep …
HRCNet: High-resolution context extraction network for semantic segmentation of remote sensing images
Semantic segmentation is a significant method in remote sensing image (RSIs) processing
and has been widely used in various applications. Conventional convolutional neural …
and has been widely used in various applications. Conventional convolutional neural …
[HTML][HTML] Aerialformer: Multi-resolution transformer for aerial image segmentation
When performing remote sensing image segmentation, practitioners often encounter various
challenges, such as a strong imbalance in the foreground–background, the presence of tiny …
challenges, such as a strong imbalance in the foreground–background, the presence of tiny …