Results 51 to 60 of about 805,301 (255)
Correlation-Filter Based Scale-Adaptive Visual Tracking With Hybrid-Scheme Sample Learning
IEEE Access, 2018 In visual tracking, a mature scale estimation method can greatly improve tracking performance and provide accurate target information for model training.
Wenhui Huang, Jason Gu, Xin Ma, Yibin Li
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Weighted Increment Target Tracking Algorithm Based on Low-rank Sparse Representation [PDF]
Jisuanji gongcheng, 2016 The objects under complex environment often are affected by occlusion,illumination changes and so on,which lead to tracking drift.In order to improve the accuracy of visual tracking,a novel robust visual tracking algorithm is introduced by using Low-rank
YING Yanli,ZHANG Jiashu,QU Yao
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RIPK4 function interferes with melanoma cell adhesion and metastasis
Molecular Oncology, EarlyView.RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski +9 more
wiley +1 more source
On the Use of Deep Reinforcement Learning for Visual Tracking: A Survey
IEEE Access, 2021 This paper aims at highlighting cutting-edge research results in the field of visual tracking by deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area combining recent progress in deep and reinforcement learning.
Giorgio Cruciata +2 more
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Visual Object Tracking Performance Measures Revisited [PDF]
IEEE Transactions on Image Processing, 2016 The problem of visual tracking evaluation is sporting a large variety of performance measures, and largely suffers from lack of consensus about which measures should be used in experiments. This makes the cross-paper tracker comparison difficult. Furthermore, as some measures may be less effective than others, the tracking results may be skewed or ...
Čehovin, Luka +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Association of Visual Tracking Metrics With Post-concussion Symptomatology
Frontiers in Neurology, 2018 Attention impairment may provide a cohesive neurobiological explanation for clusters of clinical symptoms that occur after a concussion; therefore, objective quantification of attention is needed.
Jun Maruta +6 more
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Robust Visual Tracking by Segmentation
, 2022 Accepted at ECCV 2022.
Paul, Matthieu +3 more
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Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Molecular Oncology, EarlyView.Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source
Video Tracking dalam Digital Compositing untuk Paska Produksi Video
Humaniora, 2012 Video Tracking is one of the processes in video postproduction and motion picture digitally. The ability of video tracking method in the production is helpful to realize the concept of the visual. It is considered in the process of visual effects making.
Ardiyan Ardiyan
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