Results 101 to 110 of about 1,221,513 (328)
Semantically Informed Multiview Surface Refinement
, 2017 We present a method to jointly refine the geometry and semantic segmentation of 3D surface meshes. Our method alternates between updating the shape and the semantic labels.
Blaha, Maros +7 more
core +1 more source
Advanced Science, EarlyView.The Semaphorin 3E (Sema3E)‐Plexin‐D1 pathway mediated by C/EBPα and C/EBPβ downstream of the luteinizing hormone (LH) surge plays important roles in the mouse preovulatory ovary. Timely activation and suppression of this pathway during the preovulatory stage are crucial for ovulation, corpus luteum formation, and proper angiogenesis.
Hanxue Zhang +11 more
wiley +1 more source
An Innovative Deep Learning Approach for Image Semantic and Instance Segmentation
Journal of Computing and Information Technology, 2023 In this study, we propose a segmentation model based on convolutional neural networks (CNNs) to address image segmentation challenges in computer vision.
Chuangchuang Chen +3 more
doaj +1 more source
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI [PDF]
arXiv, 2020 Panoptic segmentation is the recently introduced task that tackles semantic segmentation and instance segmentation jointly. In this paper, we present an extension of SemanticKITTI, which is a large-scale dataset providing dense point-wise semantic labels for all sequences of the KITTI Odometry Benchmark, for training and evaluation of laser-based ...
arxiv
Deep Metric Learning for Open World Semantic Segmentation [PDF]
arXiv, 2021 Classical close-set semantic segmentation networks have limited ability to detect out-of-distribution (OOD) objects, which is important for safety-critical applications such as autonomous driving. Incrementally learning these OOD objects with few annotations is an ideal way to enlarge the knowledge base of the deep learning models.
arxiv
A Novel Dual‐Network Approach for Real‐Time Liveweight Estimation in Precision Livestock Management
Advanced Science, EarlyView.A novel dual‐network framework is proposed for real‐time, non‐contact liveweight estimation of pigs. By extracting contour information instead of segmented images, the method achieves high accuracy (R2 = 0.993) and an exceptional speed of 1131.6 FPS. This approach enhances automation in livestock farming, providing a scalable and efficient solution for
Ximing Dong +6 more
wiley +1 more source
Weak-shot Semantic Segmentation via Dual Similarity Transfer [PDF]
arXiv, 2022 Semantic segmentation is an important and prevalent task, but severely suffers from the high cost of pixel-level annotations when extending to more classes in wider applications. To this end, we focus on the problem named weak-shot semantic segmentation, where the novel classes are learnt from cheaper image-level labels with the support of base classes
arxiv
Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites
Advanced Science, EarlyView.Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang +6 more
wiley +1 more source
Training Semantic Segmentation on Heterogeneous Datasets [PDF]
arXiv, 2023 We explore semantic segmentation beyond the conventional, single-dataset homogeneous training and bring forward the problem of Heterogeneous Training of Semantic Segmentation (HTSS). HTSS involves simultaneous training on multiple heterogeneous datasets, i.e.
arxiv
Advanced Science, EarlyView.This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...
Zijian Yang +23 more
wiley +1 more source