Results 31 to 40 of about 1,707,291 (329)
From Image-level to Pixel-level Labeling with Convolutional Networks [PDF]
, 2015 We are interested in inferring object segmentation by leveraging only object class information, and by considering only minimal priors on the object segmentation task.
Collobert, Ronan, Pinheiro, Pedro O.
core +4 more sources
Fracture and Structural Integrity, 2023 A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the ...
Akshansh Mishra +4 more
doaj +1 more source
Learning Deconvolution Network for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2015 We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-layer net.
Hyeonwoo Noh +2 more
semanticscholar +1 more source
Development, 2019 ABSTRACT There is now compelling evidence that many arthropods pattern their segments using a clock-and-wavefront mechanism, analogous to that operating during vertebrate somitogenesis. In this Review, we discuss how the arthropod segmentation clock generates a repeating sequence of pair-rule gene expression, and how this is converted ...
Clark, Erik +2 more
openaire +3 more sources
CCNet: Criss-Cross Attention for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2018 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
Hierarchical morphological segmentation for image sequence coding [PDF]
, 1994 This paper deals with a hierarchical morphological segmentation algorithm for image sequence coding. Mathematical morphology is very attractive for this purpose because it efficiently deals with geometrical features such as size, shape, contrast, or ...
Pardàs Feliu, Montse +1 more
core +2 more sources
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2013 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
Frontiers in Neuroimaging, 2023 IntroductionThe automatic segmentation of brain parenchyma and cerebrospinal fluid-filled spaces such as the ventricular system is the first step for quantitative and qualitative analysis of brain CT data.
Annika Gerken +7 more
doaj +1 more source
Melodic segmentation: structure, cognition, algorithms
Musicologica Brunensia, 2017 Segmentation of melodies into smaller units (phrases, themes, motifs, etc.) is an important process in both music analysis and music cognition. Also, segmentation is a necessary preprocessing step for various tasks in music information retrieval. Several
Zuzana Cenkerová
doaj +1 more source
DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling
NeuroImageThis study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational ...
Zongren Li +3 more
doaj +1 more source