Výsledky vyhľadávania - Segmentation-based object categorization

Automatic Region-Based Brain Classification of MRI-T1 Data Autor Sepideh Yazdani, Rubiyah Yusof, Alireza Karimian, Yasue Mitsukira, Amirshahram Hematian

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DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds Autor Sheikh, Mehak, Asghar, Muhammad Adeel, Bibi, Ruqia, Malik, Muhammad Noman, Shorfuzzaman, Mohammad, Mehmood, Raja Majid, Kim, Sun-Hee

“… However, this adds additional computational overhead and introduces quantization error issues, limiting an accurate estimate of the underlying structure of objects that appear in the scene…”
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Image Segmentation-based Unsupervised Multiple Objects Discovery Autor Kara, Sandra, Ammar, Hejer, Chabot, Florian, Pham, Quoc-Cuong

“…Unsupervised object discovery aims to localize objects in images, while removing the dependence on annotations required by most deep learning-based methods…”
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Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow Autor Lin Shao, Shah, Parth, Dwaracherla, Vikranth, Bohg, Jeannette

“…) motion field, also known as scene flow. We take advantage of the fact that in robot manipulation scenarios, scenes often consist of a set of rigidly moving objects…”
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Point Cloud Projective Analysis for Part-Based Grasp Planning Autor Monica, Riccardo, Aleotti, Jacopo

“… with a range camera to perform object detection, categorization, segmentation into meaningful parts, and part-based semantic grasping…”
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A Survey on Medical Image Segmentation Based on Deep Learning Techniques Autor Moorthy, Jayashree, Gandhi, Usha Devi

“… concepts applicable to medical image segmentation. The study of deep learning can be applied to image categorization, object recognition, segmentation, registration, and other tasks…”
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Instance Segmentation-Based Hazard Detection with Lunar South Pole Lighting Autor Cloud, Joseph M., Buckles, Bradley C., Muller, Thomas J., Beksi, William J., Schuler, Jason M.

“…This paper addresses rock hazard detection for in-situ resource utilization (ISRU) robotic navigation in the challenging visual environment of the lunar south…”
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Segmentation-based multi-class semantic object detection Autor Vieux, Remi, Benois-Pineau, Jenny, Domenger, Jean-Philippe, Braquelaire, Achille

“…In this paper we study the problem of the detection of semantic objects from known categories in images…”
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Context-Aware Surface Defect Detection in Reflective Objects Autor Vásquez, Jorge I

“…This Ph.D. thesis presents novel approaches to surface defect inspection of narrow and reflective objects, addressing the limitations of traditional manual methods and enhancing vision-based detection techniques…”
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Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks Autor Vinoth, K., Sasikumar, P.

“… So, we have presented a multi-sensor fusion and segmentation for multi-object tracking using DQN in self-driving cars…”
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Towards an operative use of remote sensing for exploring the past using satellite data: The case study of Hierapolis (Turkey) Autor Lasaponara, Rosa, Leucci, Giovanni, Masini, Nicola, Persico, Raffaele, Scardozzi, Giuseppe

“… Object oriented approaches are usually based on two main steps: i) first the segmentation, ii…”
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Image Categorization using Color Blobs in a Mobile Environment Autor Gavilan Ruiz, David, Takahashi, Hiroki, Nakajima, Masayuki

“… (Human Computer Interaction).Similar systems whether they work with global properties of the image, which leads to inaccurate results, or withcomplex segmentation process that fails to capture expected objects in the scene…”
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Visual detection and species classification of orchid flowers Autor Puttemans, Steven, Goedeme, Toon

“… Due to their large variety of colors and patterns, these orchid flowers are very hard to detect with classic segmentation based techniques but form an ideal test case for object categorization techniques…”
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A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis Autor Mesejo, Pablo, Ibáñez, Óscar, Cordón, Óscar, Cagnoni, Stefano

“…) tries to maximize its overlap with the object to segment.•This survey is the first review about the hybridization of DMs and MHs…”
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The segmental structure of faces and its use in gender recognition Autor Nestor, Adrian, Tarr, Michael J.

“… This segmentation-based approach allows us to build featural representations that make explicit the part-whole structure of faces and removes a priori assumptions from the equation of how objects…”
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Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review Autor Singh, Dheerendra Pratap, Yadav, Manohar

“… The point cloud learning achieves tremendous success in object detection, object categorization, and semantic segmentation…”
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A Probabilistic Associative Model for Segmenting Weakly Supervised Images Autor Zhang, Luming, Yang, Yi, Gao, Yue, Yu, Yi, Wang, Changbo, Li, Xuelong

“… as: in the training stage, semantic labels are only at the image-level, without regard to their specific object/scene location within the image…”
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Novel Image Representations For Visual Categorisation With Bag-of-Words Autor Koniusz, Piotr

“…Visual Category Recognition aims at fast classification of objects, as well as scenery, action, and semantically complex concepts in collections of unannotated images…”
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Deep Learning Regression-Based Retinal Layer Segmentation Process for Early Diagnosis of Retinal Anamolies and Secure Data Transmission through ThingSpeak Autor Arvind, Siddapuram, Sahay Prasad, Puja, Saraswathi, R. Vijaya, Vijayalata, Y., Tasneem, Zarin, Ashlin Deepa, R. N., Ramadevi, Y.

“…–Vese segmentation, and object clustering are used. Furthermore, regression-based neural network (RNN…”
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Automatic image segmentation model for indirect land use change with deep convolutional neural network Autor Vatresia, Arie, Utama, Ferzha, Sugianto, Nanang, Widyastiti, Astri, Rais, Rendra, Ismanto, Rido

“… This paper demonstrate the construction of automatic images segmentation based on deep convolution neural networks with object-oriented integration…”
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