Results 21 to 30 of about 18,554 (48)
Learning to count with deep object features
, 2015 Learning to count is a learning strategy that has been recently proposed in the literature for dealing with problems where estimating the number of object instances in a scene is the final objective.
Pujol, Oriol +2 more
core +1 more source
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
, 2016 With the advent of affordable depth sensors, 3D capture becomes more and more ubiquitous and already has made its way into commercial products. Yet, capturing the geometry or complete shapes of everyday objects using scanning devices (e.g.
GE Hinton +7 more
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Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
, 2018 We present an Adaptive Octree-based Convolutional Neural Network (Adaptive O-CNN) for efficient 3D shape encoding and decoding. Different from volumetric-based or octree-based CNN methods that represent a 3D shape with voxels in the same resolution, our ...
Liu, Yang +3 more
core +1 more source
How is Gaze Influenced by Image Transformations? Dataset and Model
, 2019 Data size is the bottleneck for developing deep saliency models, because collecting eye-movement data is very time consuming and expensive. Most of current studies on human attention and saliency modeling have used high quality stereotype stimuli.
Borji, Ali +5 more
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Type of Tomato Classification Using Deep Learning [PDF]
, 2020 : Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world.
Abu-Naser, Samy S., Alajrami, Mahmoud A.
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Semi-Supervised Hierarchical Semantic Object Parsing
, 2017 Models based on Convolutional Neural Networks (CNNs) have been proven very successful for semantic segmentation and object parsing that yield hierarchies of features.
Amindavar, Hamidreza, Mirakhorli, Jalal
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The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism
, 2019 Computer vision and other biometrics data science applications have commenced a new project of profiling people. Rather than using 'transaction generated information', these systems measure the 'real world' and produce an assessment of the 'world state' -
Alley Thomas +15 more
core +1 more source
Color Dipole Moments for Edge Detection
, 2009 Dipole and higher moments are physical quantities used to describe a charge distribution. In analogy with electromagnetism, it is possible to define the dipole moments for a gray-scale image, according to the single aspect of a gray-tone map.
Sparavigna, Amelia
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CLD-shaped Brushstrokes in Non-Photorealistic Rendering
, 2010 Rendering techniques based on a random grid can be improved by adapting brushstrokes to the shape of different areas of the original picture. In this paper, the concept of Coherence Length Diagram is applied to determine the adaptive brushstrokes, in ...
Marazzato, Roberto +1 more
core
, 2010 The Coherence Length Diagram and the related maps have been shown to represent a useful tool for image analysis. Setting threshold parameters is one of the most important issues when dealing with such applications, as they affect both the computability ...
Marazzato, Roberto +1 more
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