A survey on deep learning techniques for image and video semantic segmentation

A Garcia-Garcia, S Orts-Escolano, S Oprea… - Applied Soft …, 2018 - Elsevier
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 …

A review on deep learning techniques applied to semantic segmentation

A Garcia-Garcia, S Orts-Escolano, S Oprea… - ar**, perception and interaction: A survey
S Garg, N Sünderhauf, F Dayoub… - … and Trends® in …, 2020 - nowpublishers.com
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

The use of plant models in deep learning: an application to leaf counting in rosette plants

J Ubbens, M Cieslak, P Prusinkiewicz, I Stavness - Plant methods, 2018 - Springer
Deep learning presents many opportunities for image-based plant phenoty**. Here we
consider the capability of deep convolutional neural networks to perform the leaf counting …

Methods and datasets on semantic segmentation: A review

H Yu, Z Yang, L Tan, Y Wang, W Sun, M Sun, Y Tang - Neurocomputing, 2018 - Elsevier
Semantic segmentation, also called scene labeling, refers to the process of assigning a
semantic label (eg car, people, and road) to each pixel of an image. It is an essential data …

Underwater image co-enhancement with correlation feature matching and joint learning

Q Qi, Y Zhang, F Tian, QMJ Wu, K Li… - … on Circuits and …, 2021 - ieeexplore.ieee.org
In underwater scenes, degraded underwater images caused by wavelength-dependent light
absorption and scattering present huge challenges to vision tasks. Underwater image …

Spatially invariant unsupervised object detection with convolutional neural networks

E Crawford, J Pineau - Proceedings of the AAAI Conference on Artificial …, 2019 - ojs.aaai.org
There are many reasons to expect an ability to reason in terms of objects to be a crucial skill
for any generally intelligent agent. Indeed, recent machine learning literature is replete with …