Results 61 to 70 of about 1,700,637 (286)
Multi-scale Location-Aware Kernel Representation for Object Detection [PDF]
Although Faster R-CNN and its variants have shown promising performance in object detection, they only exploit simple first-order representation of object proposals for final classification and regression. Recent classification methods demonstrate that the integration of high-order statistics into deep convolutional neural networks can achieve ...
Hao Wang 0073 +4 more
openaire +2 more sources
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Research on a Multi-Scale Clustering Method for Buildings Taking into Account Visual Cognition
Building clustering is a key problem that needs to be solved in the realization of the automatic synthesis of large-scale maps. The selection of different feature and spatial distance calculation methods has a great impact on the clustering results, and ...
Di Sun +4 more
doaj +1 more source
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking
Multi-person human pose estimation and tracking in the wild is important and challenging. For training a powerful model, large-scale training data are crucial.
Chen, Riwei +5 more
core +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Exploiting multi-scale hierarchical feature representation for visual tracking
Convolutional neural networks (CNNs) have been the dominant architectures for feature extraction tasks, but CNNs do not look for and focus on some specific image features. Correlation operations play an important role in visual tracking.
Jun Wang +4 more
doaj +1 more source
Unleashing the Power of Hierarchical Variational Autoencoder for Predicting Breast Cancer
Breast cancer continues to be a major health concern worldwide. Early and accurate prediction is crucial for effective treatment and improving survival rates. Computer Aided Diagnosis system serves as an invaluable tool for radiologists, aiming to reduce
V. Sreelekshmi +2 more
doaj +1 more source
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
Dimensionality reduction is an essential technique for multi-way large-scale data, i.e., tensor. Tensor ring (TR) decomposition has become popular due to its high representation ability and flexibility.
Cao, Jianting +3 more
core +1 more source
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
Real-time woven fabric rendering using SGGX fitting
Realistic woven fabric rendering plays an important role in film production, video games, etc. The microflake model has recently been introduced for lightweight fabric rendering, which serves as the specular part of the woven fabric appearance.
Tianyi Yang +3 more
doaj +1 more source

