A review of semantic segmentation using deep neural networks
During the long history of computer vision, one of the grand challenges has been semantic
segmentation which is the ability to segment an unknown image into different parts and …
segmentation which is the ability to segment an unknown image into different parts and …
Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …
contextual information extraction and decision making. Beyond modeling advances, the …
Object-contextual representations for semantic segmentation
In this paper, we study the context aggregation problem in semantic segmentation.
Motivated by that the label of a pixel is the category of the object that the pixel belongs to, we …
Motivated by that the label of a pixel is the category of the object that the pixel belongs to, we …
Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
We introduce a fast and efficient convolutional neural network, ESPNet, for semantic
segmentation of high resolution images under resource constraints. ESPNet is based on a …
segmentation of high resolution images under resource constraints. ESPNet is based on a …
Coco-stuff: Thing and stuff classes in context
Semantic classes can be either things (objects with a well-defined shape, eg car, person) or
stuff (amorphous background regions, eg grass, sky). While lots of classification and …
stuff (amorphous background regions, eg grass, sky). While lots of classification and …
Rotated region based CNN for ship detection
Z Liu, J Hu, L Weng, Y Yang - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
The state-of-the-art object detection networks for natural images have recently demonstrated
impressive performances. However the complexity of ship detection in high resolution …
impressive performances. However the complexity of ship detection in high resolution …
Key-word-aware network for referring expression image segmentation
Referring expression image segmentation aims to segment out the object referred by a
natural language query expression. Without considering the specific properties of visual and …
natural language query expression. Without considering the specific properties of visual and …
A survey of deep learning-based object detection methods and datasets for overhead imagery
Significant advancements and progress made in recent computer vision research enable
more effective processing of various objects in high-resolution overhead imagery obtained …
more effective processing of various objects in high-resolution overhead imagery obtained …
Deep-learning-based approaches for semantic segmentation of natural scene images: A review
The task of semantic segmentation holds a fundamental position in the field of computer
vision. Assigning a semantic label to each pixel in an image is a challenging task. In recent …
vision. Assigning a semantic label to each pixel in an image is a challenging task. In recent …
Pose-invariant face alignment with a single CNN
Face alignment has witnessed substantial progress in the last decade. One of the recent
focuses has been aligning a dense 3D face shape to face images with large head poses …
focuses has been aligning a dense 3D face shape to face images with large head poses …