Search Results - "Image and vision computing"

Recent advances in small object detection based on deep learning: A review by Tong, Kang, Wu, Yiquan, Zhou, Fei

“…Small object detection is a challenging problem in computer vision. It has been widely applied in defense military, transportation, industry, etc. To…”
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Weighted boxes fusion: Ensembling boxes from different object detection models by Solovyev, Roman, Wang, Weimin, Gabruseva, Tatiana

“…Object detection is a crucial task in computer vision systems with a wide range of applications in autonomous driving, medical imaging, retail, security, face…”
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Speeded up detection of squared fiducial markers by Romero-Ramirez, Francisco J., Muñoz-Salinas, Rafael, Medina-Carnicer, Rafael

“…Squared planar markers have become a popular method for pose estimation in applications such as autonomous robots, unmanned vehicles and virtual trainers. The…”
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Going deeper into action recognition: A survey by Herath, Samitha, Harandi, Mehrtash, Porikli, Fatih

“…Understanding human actions in visual data is tied to advances in complementary research areas including object recognition, human dynamics, domain adaptation…”
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300 Faces In-The-Wild Challenge: database and results by Sagonas, Christos, Antonakos, Epameinondas, Tzimiropoulos, Georgios, Zafeiriou, Stefanos, Pantic, Maja

“…Computer Vision has recently witnessed great research advance towards automatic facial points detection. Numerous methodologies have been proposed during the…”
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A survey of multimodal sentiment analysis by Soleymani, Mohammad, Garcia, David, Jou, Brendan, Schuller, Björn, Chang, Shih-Fu, Pantic, Maja

“…Sentiment analysis aims to automatically uncover the underlying attitude that we hold towards an entity. The aggregation of these sentiment over a population…”
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Deep learning-based object detection in low-altitude UAV datasets: A survey by Mittal, Payal, Singh, Raman, Sharma, Akashdeep

“…Deep learning-based object detection solutions emerged from computer vision has captivated full attention in recent years. The growing UAV market trends and…”
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FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public by Wu, Peishu, Li, Han, Zeng, Nianyin, Li, Fengping

“…•Hierarchical and fine-grained framework is recommended for face mask detection.•Task-relevant prior knowledge benefits model training with stronger…”
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Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model by Mansour, Romany F., Escorcia-Gutierrez, José, Gamarra, Margarita, Villanueva, Jair A., Leal, Nallig

“…Recently, intelligent video surveillance applications have become essential in public security by the use of computer vision technologies to investigate and…”
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Application of the best evacuation model of deep learning in the design of public structures by Chen, Yan, Hu, Shenjian, Mao, He, Deng, Wei, Gao, Xin

“…Evacuation behavior is an important factor which must be considered in the design of public structures. With the continuous complexity of structure, more and…”
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A review on 2D instance segmentation based on deep neural networks by Gu, Wenchao, Bai, Shuang, Kong, Lingxing

“…Image instance segmentation involves labeling pixels of images with classes and instances, which is one of the pivotal technologies in many domains, such as…”
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3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection by Häne, Christian, Heng, Lionel, Lee, Gim Hee, Fraundorfer, Friedrich, Furgale, Paul, Sattler, Torsten, Pollefeys, Marc

“…Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and small, provide appearance information about the environment, and work…”
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Deep learning-based detection from the perspective of small or tiny objects: A survey by Tong, Kang, Wu, Yiquan

“…Detecting small or tiny objects is always a difficult and challenging issue in computer vision. In this paper, we provide a latest and comprehensive survey of…”
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AFEW-VA database for valence and arousal estimation in-the-wild by Kossaifi, Jean, Tzimiropoulos, Georgios, Todorovic, Sinisa, Pantic, Maja

“…Continuous dimensional models of human affect, such as those based on valence and arousal, have been shown to be more accurate in describing a broad range of…”
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A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection by Afza, Farhat, Khan, Muhammad Attique, Sharif, Muhammad, Kadry, Seifedine, Manogaran, Gunasekaran, Saba, Tanzila, Ashraf, Imran, Damaševičius, Robertas

“…In this article, we implement an action recognition technique based on features fusion and best feature selection. In the proposed method, HSI color…”
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Deep multimodal fusion for semantic image segmentation: A survey by Zhang, Yifei, Sidibé, Désiré, Morel, Olivier, Mériaudeau, Fabrice

“…Recent advances in deep learning have shown excellent performance in various scene understanding tasks. However, in some complex environments or under…”
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BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database by Zhang, Xing, Yin, Lijun, Cohn, Jeffrey F., Canavan, Shaun, Reale, Michael, Horowitz, Andy, Liu, Peng, Girard, Jeffrey M.

“…Facial expression is central to human experience. Its efficiency and valid measurement are challenges that automated facial image analysis seeks to address…”
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A comprehensive review of fruit and vegetable classification techniques by Hameed, Khurram, Chai, Douglas, Rassau, Alexander

“…Recent advancements in computer vision have enabled wide-ranging applications in every field of life. One such application area is fresh produce…”
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IoU-aware single-stage object detector for accurate localization by Wu, Shengkai, Li, Xiaoping, Wang, Xinggang

“…Single-stage object detectors have been widely applied in many computer vision applications due to their simpleness and high efficiency. However, the low…”
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Reinforcement learning for neural architecture search: A review by Jaafra, Yesmina, Luc Laurent, Jean, Deruyver, Aline, Saber Naceur, Mohamed

“…Deep neural networks are efficient and flexible models that perform well for a variety of tasks such as image, speech recognition and natural language…”
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