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P1343
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondenceImagenet classification with deep convolutional neural networksBenchmarking Spike-Based Visual Recognition: A Dataset and EvaluationFeature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation.SCEGRAM: An image database for semantic and syntactic inconsistencies in scenes.A conceptual framework of computations in mid-level vision.Instance Search Retrospective with Focus on TRECVID.Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.Computational and Experimental Approaches to Visual Aesthetics.Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning.Rethinking Skin Lesion Segmentation in a Convolutional Classifier.Recognizing Emotional States Using Speech Information.Super-Resolution of Plant Disease Images for the Acceleration of Image-based Phenotyping and Vigor Diagnosis in Agriculture.Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.Linking ImageNet WordNet Synsets with WikidataYouTube-8M: A Large-Scale Video Classification BenchmarkInferring visual semantic similarity with deep learning and Wikidata: Introducing imagesim-353Learning Grounded Meaning Representations with AutoencodersProspects and challenges for social media data in conservation scienceTailoring the AI for RoboticsContent-Based Video Retrieval in Historical Collections of the German Broadcasting ArchiveDeep convolutional networks do not classify based on global object shapeCombining Language and Vision with a Multimodal Skip-gram ModelVideo2vec: Learning semantic spatio-temporal embeddings for video representation
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article from CVPR 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel fra CVPR 2009
@da
vědecký článek
@cs
name
ImageNet: A large-scale hierarchical image database
@da
ImageNet: A large-scale hierarchical image database
@de
ImageNet: A large-scale hierarchical image database
@en
ImageNet: A large-scale hierarchical image database
@fo
ImageNet: A large-scale hierarchical image database
@fr
ImageNet: A large-scale hierarchical image database
@is
ImageNet: A large-scale hierarchical image database
@kl
ImageNet: A large-scale hierarchical image database
@nb
ImageNet: A large-scale hierarchical image database
@nl
ImageNet: A large-scale hierarchical image database
@nn
type
label
ImageNet: A large-scale hierarchical image database
@da
ImageNet: A large-scale hierarchical image database
@de
ImageNet: A large-scale hierarchical image database
@en
ImageNet: A large-scale hierarchical image database
@fo
ImageNet: A large-scale hierarchical image database
@fr
ImageNet: A large-scale hierarchical image database
@is
ImageNet: A large-scale hierarchical image database
@kl
ImageNet: A large-scale hierarchical image database
@nb
ImageNet: A large-scale hierarchical image database
@nl
ImageNet: A large-scale hierarchical image database
@nn
prefLabel
ImageNet: A large-scale hierarchical image database
@da
ImageNet: A large-scale hierarchical image database
@de
ImageNet: A large-scale hierarchical image database
@en
ImageNet: A large-scale hierarchical image database
@fo
ImageNet: A large-scale hierarchical image database
@fr
ImageNet: A large-scale hierarchical image database
@is
ImageNet: A large-scale hierarchical image database
@kl
ImageNet: A large-scale hierarchical image database
@nb
ImageNet: A large-scale hierarchical image database
@nl
ImageNet: A large-scale hierarchical image database
@nn
P2093
P50
P1476
ImageNet: A large-scale hierarchical image database
@en
P2093
P356
10.1109/CVPR.2009.5206848
10.1109/CVPRW.2009.5206848
P577
2009-06-01T00:00:00Z