Results 11 to 20 of about 423,040 (338)
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation [PDF]
arXivThis paper presents GoodSAM++, a novel framework utilizing the powerful zero-shot instance segmentation capability of SAM (i.e., teacher) to learn a compact panoramic semantic segmentation model, i.e., student, without requiring any labeled data. GoodSAM++ addresses two critical challenges: 1) SAM's inability to provide semantic labels and inherent ...
Weiming Zhang +3 more
arxiv +3 more sources
Bridging the semantic gap with computational media aesthetics [PDF]
IEEE Multimedia, 2003 Chitra Dorai, Svetha Venkatesh
openaire +3 more sources
Prototype-Based Explanation for Semantic Gap Reduction With Distributional Embedding
IEEE AccessThe demand for interpretable models has driven the exploration of explainable approaches grounded in human-friendly case-based reasoning. Among these approaches, prototype-based methods have proven effective in performing case-based reasoning by ...
Hyungjun Joo +4 more
doaj +2 more sources
Narrowing the semantic gap in virtual machine introspection
Tongxin xuebao, 2015 Virtual machine introspection(VMI)has been widely used in areas such as intrusion detection and malware analysis.However,due to the existence of semantic gap,the generality and the efficiency of VMI were partly influenced while getting internal ...
Chao-yuan CUI +3 more
doaj +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Due to its high efficiency and low cost, automatic extraction of building footprints from remotely sensed imagery has long been an important means to obtain building footprint information, which can be easily implemented using existing fully ...
Hua Zhang +3 more
doaj +1 more source
MSFNet: modality smoothing fusion network for multimodal aspect-based sentiment analysis
Frontiers in Physics, 2023 Multimodal aspect-based sentiment classification (MABSC) aims to determine the sentiment polarity of a given aspect in a sentence by combining text and image information.
Yan Xiang +5 more
doaj +1 more source
Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods
IEEE Access, 2021 Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li +5 more
doaj +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan +8 more
wiley +1 more source
Philosophy in technology: A research program
Zagadnienia Filozoficzne w Nauce, 2023 Philosophy in technology is a research program that studies the philosophical roots of engineering and technology. Technologists, by virtue of their education, believe that the limits, goals, possibilities, and effects of technology on society and ...
Paweł Polak
doaj +1 more source
Uniqueness of radiomic features in non‐small cell lung cancer
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source