Výsledky vyhľadávania - "Advanced Methods and Deep Learning in Computer Vision"

Domain adaptation and continual learning in semantic segmentation

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Visual adversarial attacks and defenses

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Chapter 9 - Visual tracking: Tracking in scenes containing multiple moving objects Autor Felsberg, Michael

“…Visual tracking is one of the most classical problems in computer vision, and its history goes back to the beginning of the 80s when classical concepts such as…”
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Chapter 5 - Deep conditional image generation: Towards controllable visual pattern modeling Autor Hua, Gang, Chen, Dongdong

“…Learning visual patterns is a key and fundamental building block for visual perception towards machine intelligence. By definition, a visual pattern is a…”
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Chapter 13 - Probabilistic anomaly detection methods using learned models from time-series data for multimedia self-aware systems Autor Regazzoni, Carlo, Krayani, Ali, Slavic, Giulia, Marcenaro, Lucio

“…Anomaly detection techniques constitute a fundamental resource in many applications such as medical image analysis, fraud detection or video surveillance…”
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Chapter 6 - Deep face recognition using full and partial face images Autor Ugail, Hassan

“…In this chapter, we discuss state of the art deep learning based methods and techniques for face recognition using both full and partial facial images. We show…”
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Chapter 8 - Domain adaptation and continual learning in semantic segmentation Autor Michieli, Umberto, Toldo, Marco, Zanuttigh, Pietro

“…Deep networks produce outstanding results in many computer vision tasks including semantic segmentation. On the other hand, they are plagued by the need of a…”
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Chapter 10 - Long-term deep object tracking Autor Gavves, Efstratios, Gupta, Deepak

“…Visual object tracking is one of the oldest tasks in computer vision. Interestingly, when it comes to longer sequences object tracking must address significant…”
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Chapter 14 - Deep plug-and-play and deep unfolding methods for image restoration Autor Zhang, Kai, Timofte, Radu

“…Model-based methods and learning-based methods have been the two dominant strategies for solving various image restoration problems in low-level vision…”
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Chapter 7 - Unsupervised domain adaptation using shallow and deep representations Autor Balaji, Yogesh, Nguyen, Hien, Chellappa, Rama

“…The inputs to a computer vision system often contain novel variations owing to the diverse operating conditions in the external world. Machine learning models…”
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Chapter 12 - Self-supervised temporal event segmentation inspired by cognitive theories Autor Mounir, Ramy, Aakur, Sathyanarayanan, Sarkar, Sudeep

“…We consider the event segmentation problem, i.e., how to mark the event's temporal boundaries and spatially locate them in the image. We draw heavily from…”
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Chapter 15 - Visual adversarial attacks and defenses Autor Oh, Changjae, Xompero, Alessio, Cavallaro, Andrea

“…Visual adversarial examples are images and videos purposefully perturbed to mislead machine learning models. This chapter presents an overview of methods that…”
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Chapter 4 - Efficient methods for deep learning Autor Cai, Han, Lin, Ji, Han, Song

“…Deep neural networks (DNNs) have achieved unprecedented success in computer vision. However, their superior performance comes at the considerable cost of…”
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Chapter 2 - Advanced methods for robust object detection Autor Cai, Zhaowei, Vasconcelos, Nuno

“…Object detection is one of the most important and challenging problems in computer vision. The task is to localize every object of interest in a natural image…”
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Chapter 11 - Learning for action-based scene understanding Autor Fermüller, Cornelia, Maynord, Michael

“…Action plays a central role in our lives and environments, yet most Computer Vision methods do not explicitly model action. In this chapter we outline an…”
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Chapter 3 - Learning with limited supervision: Static and dynamic tasks Autor Paul, Sujoy, Roy-Chowdhury, Amit K.

“…The recent successes in computer vision, and machine learning in general, have been mostly around using a huge corpus of intricately labeled data for training…”
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Chapter 1 - The dramatically changing face of computer vision Autor Davies, E.R.

“…This chapter aims to explain the concepts leading up to the recently evolved deep learning milieu, covering aspects such as image processing, feature…”
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Deep plug-and-play and deep unfolding methods for image restoration

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Efficient methods for deep learning

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Learning for action-based scene understanding

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