Výsledky vyhledávání - "VISION ARTIFICIELLE"

Apprentissage multi-modal pour la compréhension de vidéos

Autor: Gabeur, Valentin

Publikováno v: Computer science. Université Grenoble Alpes [2020-..], 2022. English. ⟨NNT : 2022GRALM027⟩

With the ever-increasing consumption of audio-visual media on the internet, video understanding has become an important problem in order to provide users with the right content. Compared to more traditional media, the video signal is inherently multi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::6cfdd42cd6c9f20083bc9246f6bbc571
https://theses.hal.science/tel-04012915/file/GABEUR_2022_archivage.pdf

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Apparence des matériaux, Vision artificielle, Inspection qualité, Reflectance Transformation Imaging

Autor: Nurit, Marvin

Mastering the visual perception of the surfaces of manufactured products is a central issue for industry. However, in industry, the quality of surfaces is often assessed by human inspectors. Only a few specific cases use an instrumental or photometri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3711::70aa28fe869e57ff9febfc7017a4ab76
https://theses.hal.science/tel-03705736

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Digitization and characterization of local reflectance of complex surfaces for visual inspection

Autor: Nurit, Marvin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3711::e446875ac81967005496ccece5e2dce1
https://theses.hal.science/tel-04085359

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Apprentissage continu classe par classe pour les réseaux de neurones profonds

Autor: Hocquet, Guillaume

Publikováno v: Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPAST070⟩

We are interested in the problem of continual learning of artificial neural networks in the case where the data are available for only one class at a time. To address the problem of catastrophic forgetting that restrain the learning performances in t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4dad975f95899c70cb216f9ce8fdac6b
https://tel.archives-ouvertes.fr/tel-03296752

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Smart Vision Chip for colon exploration

Autor: Chuquimia, Orlando

Publikováno v: Imagerie médicale. Sorbonne Université, 2019. Français
Imagerie médicale. Sorbonne Université, 2019. Français. ⟨NNT : 2019SORUS192⟩

CCR is the second highest cause of death by cancer worldwide with 880,792 deaths in 2018 and a mortality rate of 47.6%. 95% of CCR cases begin with the presence of a growth on the inner lining of the colon or the rectum, called a polyp. Multiple type

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7fc745f348c2e554870c51b5d27b6961
https://tel.archives-ouvertes.fr/tel-02494557

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Stéréotomie et vision artificielle pour la construction robotisée de structures maçonnées complexes

Autor: LOING, Vianney

Publikováno v: Génie civil. Université Paris-Est, 2019. Français. ⟨NNT : 2019PESC1015⟩
197 p

The context of this thesis work is the development of robotics in the construction industry. We explore the robotic construction of complex masonry structures with the help of computer vision. Construction without the use of formwork is an important

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6d9af05f7aafa5734edd5ff3c2e6d6e5
https://pastel.archives-ouvertes.fr/tel-02385841/document

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3D Object Pose Estimation in Industrial Context

Autor: Pitteri, Giorgia

Publikováno v: Computer Vision and Pattern Recognition [cs.CV]. Université de Bordeaux, 2020. English. ⟨NNT : 2020BORD0202⟩

3D object detection and pose estimation are of primary importance for tasks such as robotic manipulation, augmented reality and they have been the focus of intense research in recent years. Methods relying on depth data acquired by depth cameras are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::8ac241c26f9862950988072d66c16bfe
https://tel.archives-ouvertes.fr/tel-03136325/document

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Large-scale Learning from Video and Natural Language

Autor: Miech, Antoine

Publikováno v: Computer Vision and Pattern Recognition [cs.CV]. PSL Research University, 2020. English
Computer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLE059⟩
Computer Vision and Pattern Recognition [cs.CV]. PSL Research University, 2020. English. ⟨NNT : ⟩

The goal of this thesis is to build and train machine learning models capable of understanding the content of videos. Current video understanding approaches mainly rely on large-scale manually annotated video datasets for training. However, collectin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::78f4bdb76ee4297241e7bdbfa5ef4426
https://hal.inria.fr/tel-03084216/file/main.pdf

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Vers des systèmes perceptifs autonomes

Autor: Herbin, Stéphane

Publikováno v: Engineering Sciences [physics]. SORBONNE UNIVERSITE, 2020

The objective of this document is to introduce the principle of Autonomous PErceptual System (APES) as an object of study.The functionalities of artificial perception, in particular vision, have become both easier to design and more efficient through

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::b532cdccb5dec1d3224fec9638e99eb7
https://hal.archives-ouvertes.fr/tel-03081495

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Towards Autonomous PErceptual Systems

Autor: Herbin, Stéphane

Publikováno v: Engineering Sciences [physics]. SORBONNE UNIVERSITE, 2020

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::b532cdccb5dec1d3224fec9638e99eb7
https://hal.archives-ouvertes.fr/tel-03081495

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