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Towards a better understanding of annotation tools for medical imaging: a survey
Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …
Incremental learning algorithms and applications
Incremental learning refers to learning from streaming data, which arrive over time, with
limited memory resources and, ideally, without sacrificing model accuracy. This setting fits …
limited memory resources and, ideally, without sacrificing model accuracy. This setting fits …
A survey of image labelling for computer vision applications
Supervised machine learning methods for image analysis require large amounts of labelled
training data to solve computer vision problems. The recent rise of deep learning algorithms …
training data to solve computer vision problems. The recent rise of deep learning algorithms …
Food recognition: a new dataset, experiments, and results
We propose a new dataset for the evaluation of food recognition algorithms that can be used
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
CNN-based features for retrieval and classification of food images
Features learned by deep Convolutional Neural Networks (CNNs) have been recognized to
be more robust and expressive than hand-crafted ones. They have been successfully used …
be more robust and expressive than hand-crafted ones. They have been successfully used …
Online learning for 3D LiDAR-based human detection: experimental analysis of point cloud clustering and classification methods
This paper presents a system for online learning of human classifiers by mobile service
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …
Video annotation tools: A review
Due to the advancements of Machine learning and vast usage of multimedia data, the image
and video annotation has become quite popular now. In the area of image annotation, the …
and video annotation has become quite popular now. In the area of image annotation, the …
Enhancing free-living fall risk assessment: contextualizing mobility based IMU data
Fall risk assessment needs contemporary approaches based on habitual data. Currently,
inertial measurement unit (IMU)-based wearables are used to inform free-living spatio …
inertial measurement unit (IMU)-based wearables are used to inform free-living spatio …
Challenges in surgical video annotation
Annotation of surgical video is important for establishing ground truth in surgical data
science endeavors that involve computer vision. With the growth of the field over the last …
science endeavors that involve computer vision. With the growth of the field over the last …
Spot on: Action localization from pointly-supervised proposals
We strive for spatio-temporal localization of actions in videos. The state-of-the-art relies on
action proposals at test time and selects the best one with a classifier trained on carefully …
action proposals at test time and selects the best one with a classifier trained on carefully …