Deep multimodal fusion for semantic image segmentation: A survey
Recent advances in deep learning have shown excellent performance in various scene
understanding tasks. However, in some complex environments or under challenging …
understanding tasks. However, in some complex environments or under challenging …
A brief survey on RGB-D semantic segmentation using deep learning
Semantic segmentation is referred to as a process of linking each pixel in an image to a
class label. With this pragmatic technique, it is possible to recognize different objects in an …
class label. With this pragmatic technique, it is possible to recognize different objects in an …
Embedded control gate fusion and attention residual learning for RGB–thermal urban scene parsing
The semantic segmentation of road scenes is an important task in autonomous driving.
Deep learning has enabled the development of a variety of semantic segmentation networks …
Deep learning has enabled the development of a variety of semantic segmentation networks …
Deep learning based 3D segmentation: A survey
3D segmentation is a fundamental and challenging problem in computer vision with
applications in autonomous driving and robotics. It has received significant attention from the …
applications in autonomous driving and robotics. It has received significant attention from the …
Multispectral video semantic segmentation: A benchmark dataset and baseline
Robust and reliable semantic segmentation in complex scenes is crucial for many real-life
applications such as autonomous safe driving and nighttime rescue. In most approaches, it …
applications such as autonomous safe driving and nighttime rescue. In most approaches, it …
Convolutional neural network based vehicle classification in adverse illuminous conditions for intelligent transportation systems
In step with rapid advancements in computer vision, vehicle classification demonstrates a
considerable potential to reshape intelligent transportation systems. In the last couple of …
considerable potential to reshape intelligent transportation systems. In the last couple of …
[HTML][HTML] Image semantic segmentation of indoor scenes: A survey
This survey provides a comprehensive evaluation of various deep learning-based
segmentation architectures. It covers a wide range of models, from traditional ones like FCN …
segmentation architectures. It covers a wide range of models, from traditional ones like FCN …
PDD-Net: Plant disease diagnoses using multilevel and multiscale convolutional neural network features
H Alghamdi, T Turki - Agriculture, 2023 - mdpi.com
Overlooked diseases in agriculture severely impact crop growth, which results in significant
losses for farmers. Unfortunately, manual field visits for plant disease diagnosis (PDD) are …
losses for farmers. Unfortunately, manual field visits for plant disease diagnosis (PDD) are …
Deep learning based 3D segmentation in computer vision: A survey
Abstract 3D segmentation is a fundamental and challenging problem in computer vision with
applications in autonomous driving and robotics. It has received significant attention from the …
applications in autonomous driving and robotics. It has received significant attention from the …
Deep learning inspired object consolidation approaches using lidar data for autonomous driving: a review
Abstract Autonomous Driving Vehicle (ADV) services have become a prominent motif in
intelligent vehicle technology by adapting deep learning features. Automated driverless …
intelligent vehicle technology by adapting deep learning features. Automated driverless …