Results 231 to 240 of about 2,766,743 (269)
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Bridging the Gap Between Semantic Segmentation and Instance Segmentation
IEEE transactions on multimedia, 2022Fine-grained instance segmentation is considerably more complicated and challenging than semantic segmentation. Most existing instance segmentation methods only focus on accuracy without paying much attention to inference latency, which, is critical to ...
Chengxiang Yin +4 more
semanticscholar +1 more source
ACM Trans. Inf. Syst., 2020
The semantic mismatch between query and document terms—i.e., the semantic gap—is a long-standing problem in Information Retrieval (IR). Two main linguistic features related to the semantic gap that can be exploited to improve retrieval are synonymy and ...
M. Agosti, S. Marchesin, G. Silvello
semanticscholar +1 more source
The semantic mismatch between query and document terms—i.e., the semantic gap—is a long-standing problem in Information Retrieval (IR). Two main linguistic features related to the semantic gap that can be exploited to improve retrieval are synonymy and ...
M. Agosti, S. Marchesin, G. Silvello
semanticscholar +1 more source
Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning
IEEE Transactions on Cybernetics, 2020Multilabel learning focuses on assigning instances with different labels. In essence, the multilabel learning aims at learning a predictive function from feature space to a label space.
Jianghong Ma, T. Chow, Haijun Zhang
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Microprocessing and Microprogramming, 1988
Abstract The behaviour of a VLSI design is viewed at different levels of abstraction during the various stages of the design process. Many authors have commented that the development of a design may be viewed as a sequence of transformations between design representations at different levels of abstraction.
Andrew Fox, Paul Loewenstein
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Abstract The behaviour of a VLSI design is viewed at different levels of abstraction during the various stages of the design process. Many authors have commented that the development of a design may be viewed as a sequence of transformations between design representations at different levels of abstraction.
Andrew Fox, Paul Loewenstein
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Bridging the semantic gap in sports
SPIE Proceedings, 2003ABSTRACT One of the major challenges facing current media management systems and the related applications is the so-called semantic gap between the rich meaning that a user desires and the shallowness of the content descriptions that are automatically extracted from the media.
Baoxin Li +3 more
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Untargeted Adversarial Attack via Expanding the Semantic Gap
IEEE International Conference on Multimedia and Expo, 2019Recent studies have demonstrated deep neural network-based image classifiers are vulnerable to adversarial examples. Although many existing methods could obtain outstanding attack performance, they often require certain information about the attacked ...
Aming Wu +3 more
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A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory
International Symposium on Computer Architecture, 2018This paper makes a case for a new cross-layer interface, Expressive Memory (XMem), to communicate higher-level program semantics from the application to the system software and hardware architecture.
Nandita Vijaykumar +8 more
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Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes
IEEE transactions on intelligent transportation systems (Print), 2023Using light-weight architectures or reasoning on low-resolution images, recent methods realize very fast scene parsing, even running at more than 100 FPS on a single GPU.
Huihui Pan +3 more
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A new strategy for bridging the semantic gap in image retrieval
Int. J. Comput. Sci. Eng., 2017Content-based image retrieval CBIR research is currently faced with the so called the 'semantic gap' problem. CBIR researchers work at the near end of the gap, applying computer science methods to bridge the gap.
Mohammad A. Alzubaidi
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Negotiating the semantic gap: from feature maps to semantic landscapes
Pattern Recognition, 2001In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, latent semantic indexing (LSI), which has been used for textual information retrieval for many years.
Rong Zhao, William I. Grosky
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