Results 181 to 190 of about 423,040 (338)
Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation [PDF]
Zero-shot Panoptic Segmentation (ZPS) aims to recognize foreground instances and background stuff without images containing unseen categories in training. Due to the visual data sparsity and the difficulty of generalizing from seen to unseen categories, this task remains challenging.
arxiv
Image Access, the Semantic Gap, and Social Tagging as a Paradigm Shift
Corinne Jörgensen
openalex +2 more sources
UNC13A Polymorphism Influences Survival in Patients with Frontotemporal Dementia
UNC13A (rs12608932‐CC) is associated with both amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), and shortens survival in ALS. We aim to describe the association for UNC13A and survival in FTD. We included 626 patients with FTD from Dutch memory clinics, including a subcohort of 150 patients with TDP‐43 pathology. Survival analyses
Lianne M. Reus+19 more
wiley +1 more source
Semantic Context Detection Using Audio Event Fusion
Semantic-level content analysis is a crucial issue in achieving efficient content retrieval and management. We propose a hierarchical approach that models audio events over a time series in order to accomplish semantic context detection.
Cheng Wen-Huang, Chu Wei-Ta, Wu Ja-Ling
doaj +1 more source
Bridging the semantic gap in content-based image retrieval.
Joshua Caudill
openalex +2 more sources
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data [PDF]
Previous OOD detection systems only focus on the semantic gap between ID and OOD samples. Besides the semantic gap, we are faced with two additional gaps: the domain gap between source and target domains, and the class-imbalance gap between different classes. In fact, similar objects from different domains should belong to the same class. In this paper,
arxiv
Investigating the Semantic Gap through Query Log Analysis
Peter Mika, Edgar Meij, Hugo Zaragoza
openalex +1 more source
CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification [PDF]
Visible-infrared person re-identification (VIReID) primarily deals with matching identities across person images from different modalities. Due to the modality gap between visible and infrared images, cross-modality identity matching poses significant challenges. Recognizing that high-level semantics of pedestrian appearance, such as gender, shape, and
arxiv
The experimental framework of the study encompasses sample collection, single‐cell data analysis, and experimental validation. Abstract Understanding differences in chromatin state and changes in gene regulatory landscape of placode (Pc) and dermal condensate are crucial for decoding hair follicle (HF) morphogenesis programs.
Fang Li+5 more
wiley +1 more source