A brief survey on semantic segmentation with deep learning
S Hao, Y Zhou, Y Guo - Neurocomputing, 2020 - Elsevier
Semantic segmentation is a challenging task in computer vision. In recent years, the
performance of semantic segmentation has been greatly improved by using deep learning …
performance of semantic segmentation has been greatly improved by using deep learning …
A survey on deep learning techniques for image and video semantic segmentation
Image semantic segmentation is more and more being of interest for computer vision and
machine learning researchers. Many applications on the rise need accurate and efficient …
machine learning researchers. Many applications on the rise need accurate and efficient …
Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation
Low-level details and high-level semantics are both essential to the semantic segmentation
task. However, to speed up the model inference, current approaches almost always sacrifice …
task. However, to speed up the model inference, current approaches almost always sacrifice …
Dfanet: Deep feature aggregation for real-time semantic segmentation
This paper introduces an extremely efficient CNN architecture named DFANet for semantic
segmentation under resource constraints. Our proposed network starts from a single …
segmentation under resource constraints. Our proposed network starts from a single …
Linknet: Exploiting encoder representations for efficient semantic segmentation
A Chaurasia, E Culurciello - 2017 IEEE visual communications …, 2017 - ieeexplore.ieee.org
Pixel-wise semantic segmentation for visual scene understanding not only needs to be
accurate, but also efficient in order to find any use in real-time application. Existing …
accurate, but also efficient in order to find any use in real-time application. Existing …
Icnet for real-time semantic segmentation on high-resolution images
We focus on the challenging task of real-time semantic segmentation in this paper. It finds
many practical applications and yet is with fundamental difficulty of reducing a large portion …
many practical applications and yet is with fundamental difficulty of reducing a large portion …
A review on deep learning techniques applied to semantic segmentation
Image semantic segmentation is more and more being of interest for computer vision and
machine learning researchers. Many applications on the rise need accurate and efficient …
machine learning researchers. Many applications on the rise need accurate and efficient …
Playing for data: Ground truth from computer games
Recent progress in computer vision has been driven by high-capacity models trained on
large datasets. Unfortunately, creating large datasets with pixel-level labels has been …
large datasets. Unfortunately, creating large datasets with pixel-level labels has been …
Enet: A deep neural network architecture for real-time semantic segmentation
The ability to perform pixel-wise semantic segmentation in real-time is of paramount
importance in mobile applications. Recent deep neural networks aimed at this task have the …
importance in mobile applications. Recent deep neural networks aimed at this task have the …
Eff-unet: A novel architecture for semantic segmentation in unstructured environment
Since the last few decades, the number of road causalities has seen continuous growth
across the globe. Nowadays intelligent transportation systems are being developed to …
across the globe. Nowadays intelligent transportation systems are being developed to …