Search Results - "Computer Vision And Pattern Recognition"

DINOv2: Learning Robust Visual Features without Supervision by Oquab, Maxime, Darcet, Timothée, Moutakanni, Théo, Vo, Huy, Szafraniec, Marc, Khalidov, Vasil, Fernandez, Pierre, Haziza, Daniel, Massa, Francisco, El-Nouby, Alaaeldin, Assran, Mahmoud, Ballas, Nicolas, Galuba, Wojciech, Howes, Russell, Huang, Po-Yao, Li, Shang-Wen, Misra, Ishan, Rabbat, Michael, Sharma, Vasu, Synnaeve, Gabriel, Xu, Hu, Jegou, Hervé, Mairal, Julien, Labatut, Patrick, Joulin, Armand, Bojanowski, Piotr

“…The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in…”
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Long-Term Visual Localization Revisited by Toft, Carl, Maddern, Will, Torii, Akihiko, Hammarstrand, Lars, Stenborg, Erik, Safari, Daniel, Okutomi, Masatoshi, Pollefeys, Marc, Sivic, Josef, Pajdla, Tomas, Kahl, Fredrik, Sattler, Torsten

“…Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical…”
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Non-Rigid Structure-from-Motion via Differential Geometry with Recoverable Conformal Scale by Chen, Yongbo, Zhang, Yanhao, Parashar, Shaifali, Zhao, Liang, Huang, Shoudong

“…Non-rigid structure-from-motion (NRSfM), a promising technique for addressing the mapping challenges in monocular visual deformable simultaneous localization…”
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DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition by Coquenet, Denis, Chatelain, Clément, Paquet, Thierry

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Secrets of Event-Based Optical Flow, Depth and Ego-Motion Estimation by Contrast Maximization by Shiba, Shintaro, Klose, Yannick, Aoki, Yoshimitsu, Gallego, Guillermo

“…Event cameras respond to scene dynamics and provide signals naturally suitable for motion estimation with advantages, such as high dynamic range. The emerging…”
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Integrating vision and decision-making models with end-to-end trainable recurrent neural networks by Cheng, Yu-Ang, Rodriguez, Ivan Felipe, Watanabe, Takeo, Serre, Thomas

“…Historically, research in visual perception and perceptual decision-making has been pursued independently. Models of visual perception have primarily focused…”
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Do CNNs Trained on Self-Motion Videos Develop Sensitivity to 1st- and 3rd-order Motion? by Zhu, Zhenyu, Serre, Thomas, Warren, William

“…At least two classes of motion information play a role in locomotor control: 1st-order motion energy, such as moving high-contrast texture, and 3rd-order…”
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Building better models of biological vision by searching for more ecological data diets and learning objectives by Linsley, Drew, Nagaraj, Akash, Ashok, Alekh, Lewis, Francis, Zhou, Peisen, Serre, Thomas

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A neural network model of how category learning alters perceptual similarity by Rosedahl, Luke, Serre, Thomas, Watanabe, Takeo

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Time to consider time: Comparing human reaction times to dynamical signatures from recurrent vision models on a perceptual grouping task by Karkada Ashok, Alekh, Goetschalckx, Lore, Narasimhan Govindarajan, Lakshmi, Ahuja, Aarit, Sheinberg, David, Serre, Thomas

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End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network by Coquenet, Denis, Chatelain, Clément, Paquet, Thierry

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What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods by Colin, Julien, Fel, Thomas, Cadene, Remi, Serre, Thomas

“…A multitude of explainability methods has been described to try to help users better understand how modern AI systems make decisions. However, most performance…”
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Deep Learning for Classification of Hyperspectral Data: A Comparative Review by Audebert, Nicolas, Le Saux, Bertrand, Lefevre, Sebastien

“…In recent years, deep-learning techniques revolutionized the way remote sensing data are processed. The classification of hyperspectral data is no exception to…”
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Unsupervised skin tissue segmentation for remote photoplethysmography by Bobbia, Serge, Macwan, Richard, Benezeth, Yannick, Mansouri, Alamin, Dubois, Julien

“…•A novel method for selecting the ROI for remote photoplethysmography algorithms is proposed.•Skin tissues are implicitly selected via their distinct…”
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Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges by Lesort, Timothée, Lomonaco, Vincenzo, Stoian, Andrei, Maltoni, Davide, Filliat, David, Díaz-Rodríguez, Natalia

“…•State of the art on continual / lifelong learning and its implications for robotics.•Proposal of a framework to present Continual Learning algorithms.•Summary…”
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Gender recognition with aging using HD-sEMG signals by Sid'El Moctar, Sidi Mohamed, Zhang, Honglei, Rida, Imad, Kinugawa, Kiyoka, Boudaoud, Sofiane

“…As gender recognition is key in advancing personalized medicine, this study explores the use of high-density surface electromyography (HD-sEMG) signals for…”
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Label-Embedding for Image Classification by Akata, Zeynep, Perronnin, Florent, Harchaoui, Zaid, Schmid, Cordelia

“…Attributes act as intermediate representations that enable parameter sharing between classes, a must when training data is scarce. We propose to view…”
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Multitask learning for large-scale semantic change detection by Caye Daudt, Rodrigo, Le Saux, Bertrand, Boulch, Alexandre, Gousseau, Yann

“…Change detection is one of the main problems in remote sensing, and is essential to the accurate processing and understanding of the large scale Earth…”
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Recurrent neural circuits for perceptual grouping by Serre, Thomas

“…Neurons in the visual cortex are sensitive to context: Responses to stimuli presented within their classical receptive fields (CRFs) are modulated by stimuli…”
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Toward modeling visual routines of object segmentation with biologically inspired recurrent vision models by Goetschalckx, Lore, Zolfaghar, Maryam, Ashok, Alekh K., Govindarajan, Lakshmi N., Linsley, Drew, Serre, Thomas

“…A core task of the primate visual system is to organize its retinal input into coherent figural objects. While psychological theories dating back to Ullman…”
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