Methods and datasets on semantic segmentation: A review
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 …
semantic label (eg car, people, and road) to each pixel of an image. It is an essential data …
A survey of the four pillars for small object detection: Multiscale representation, contextual information, super-resolution, and region proposal
Although great progress has been made in generic object detection by advanced deep
learning techniques, detecting small objects from images is still a difficult and challenging …
learning techniques, detecting small objects from images is still a difficult and challenging …
Artificial intelligence: a rapid case for advancement in the personalization of gynaecology/obstetric and mental health care
To evaluate and holistically treat the mental health sequelae and potential psychiatric
comorbidities associated with obstetric and gynaecological conditions, it is important to …
comorbidities associated with obstetric and gynaecological conditions, it is important to …
Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey
We present a survey on maritime object detection and tracking approaches, which are
essential for the development of a navigational system for autonomous ships. The electro …
essential for the development of a navigational system for autonomous ships. The electro …
YOLOrs: Object detection in multimodal remote sensing imagery
Deep-learning object detection methods that are designed for computer vision applications
tend to underperform when applied to remote sensing data. This is because contrary to …
tend to underperform when applied to remote sensing data. This is because contrary to …
SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
A coarse-to-fine approach for fast deformable object detection
We present a method that can dramatically accelerate object detection with part based
models. The method is based on the observation that the cost of detection is likely …
models. The method is based on the observation that the cost of detection is likely …
A review and an approach for object detection in images
KU Sharma, NV Thakur - International Journal of …, 2017 - inderscienceonline.com
An object detection system finds objects of the real world present either in a digital image or
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
System and method for detecting objects in an image
Y Segalovitz, O Shoor, Y Lipman, N Tzemah… - US Patent …, 2017 - Google Patents
(57) ABSTRACT A method for crop** photos images captured by a user from an image of
a page of a photo album is described. Corners in the page image are detected using corner …
a page of a photo album is described. Corners in the page image are detected using corner …
System and method for controlling a camera based on processing an image captured by other camera
I Sivan - US Patent 9,661,215, 2017 - Google Patents
(57) ABSTRACT A device comprises a first digital camera having a first center line of sight
and a second digital camera having a second center line of sight that is parallel and …
and a second digital camera having a second center line of sight that is parallel and …