Results 41 to 50 of about 919,757 (241)
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation [PDF]
Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context.
Ross B. Girshick+3 more
semanticscholar +1 more source
BronchoX: bronchoscopy exploration software for biopsy intervention planning
Virtual bronchoscopy (VB) is a non-invasive exploration tool for intervention planning and navigation of possible pulmonary lesions (PLs). A VB software involves the location of a PL and the calculation of a route, starting from the trachea, to reach it.
Esmitt Ramírez+6 more
doaj +1 more source
Segmentation by transduction [PDF]
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statistical transductive inference, in which some pixels are already associated with given zones and the remaining ones need to be classified.
Duchenne, Olivier+4 more
openaire +3 more sources
Livestock detection in aerial images using a fully convolutional network
In order to accurately count the number of animals grazing on grassland, we present a livestock detection algorithm using modified versions of U-net and Google Inception-v4 net. This method works well to detect dense and touching instances.
Liang Han, Pin Tao, Ralph R. Martin
doaj +1 more source
Customer relationship management in banking industry: Modern approach [PDF]
Due to fierce competition in the banking sector, where the competitive struggle to win larger market share and attract the largest possible number of customers is constantly being led, and taking into account poorly differentiated offer of banks ...
Cvijović Jelena+2 more
doaj +1 more source
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation [PDF]
Semantic segmentation requires both rich spatial information and sizeable receptive field. However, modern approaches usually compromise spatial resolution to achieve real-time inference speed, which leads to poor performance.
Changqian Yu+5 more
semanticscholar +1 more source
Segmentation of Discrete Curves into Fuzzy Segments
A new concept, fuzzy segments, is introduced which allows for flexible segmentation of discrete curves, so taking into account some noise in them. Relying on an arithmetic approach of discrete straight lines, it generalizes them, admitting that some points are missing. Thus, a larger class of objects is considered.
Debled-Rennesson, Isabelle+2 more
openaire +4 more sources
CCNet: Criss-Cross Attention for Semantic Segmentation [PDF]
Full-image dependencies provide useful contextual information to benefit visual understanding problems. In this work, we propose a Criss-Cross Network (CCNet) for obtaining such contextual information in a more effective and efficient way.
Zilong Huang+6 more
semanticscholar +1 more source
Multi-Organ Gland Segmentation Using Deep Learning
Clinical morphological analysis of histopathology samples is an effective method in cancer diagnosis. Computational pathology methods can be employed to automate this analysis, providing improved objectivity and scalability.
Thomas Binder+5 more
doaj +1 more source
The Ancestry of Segmentation [PDF]
Recent studies of segmentation in the spider suggest that the ancestral vertebrate and arthropod segmentation mechanisms utilized the Notch signaling pathway and bolster the argument that segmentation is an ancestral feature of all bilaterians.
openaire +3 more sources