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On Fine-Grained Relevance Scales
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018In Information Retrieval evaluation, the classical approach of adopting binary relevance judgments has been replaced by multi-level relevance judgments and by gain-based metrics leveraging such multi-level judgment scales. Recent work has also proposed and evaluated unbounded relevance scales by means of Magnitude Estimation (ME) and compared them with
Kevin Roitero +3 more
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Fine-Grained Cryptography Revisited
Journal of Cryptology, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shohei Egashira +2 more
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Fine-Grained Entity Recognition
Proceedings of the AAAI Conference on Artificial Intelligence, 2021Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to produce labels from to a small set of entity classes, e.g., person, organization, location or miscellaneous.
Xiao Ling, Daniel S. Weld
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Leveraging Fine-Grained Labels to Regularize Fine-Grained Visual Classification
Proceedings of the 11th International Conference on Computer Modeling and Simulation, 2019Fine-grained visual categorization (FGVC) is challenging mainly due to the large intra-class confusion and small inter-class variance in terms of shape, pose, and appearance. We propose the concept of fine-grained label and that any given label can be further classified into some sub-classes as fine-grained labels, and thus samples of each original ...
Junfeng Wu +3 more
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Mine the fine: Fine-grained fragment discovery
2015 IEEE International Conference on Image Processing (ICIP), 2015While discriminative visual element mining has been introduced before, in this paper we present an approach that requires minimal annotation in both training and test time. Given only a bounding box localization of the foreground objects, our approach automatically transforms the input images into a roughly-aligned pose space and discovers the most ...
M. Hadi Kiapour +3 more
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2016 International Conference on Biometrics (ICB), 2016
Current deep learning methods have achieved human-level performance on Labeled Faces in the Wild (LFW) database, but we think it is because that the limited number of pairs on LFW do not capture the real difficulty of large-scale unconstrained face verification problem.
Nanhai Zhang, Weihong Deng
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Current deep learning methods have achieved human-level performance on Labeled Faces in the Wild (LFW) database, but we think it is because that the limited number of pairs on LFW do not capture the real difficulty of large-scale unconstrained face verification problem.
Nanhai Zhang, Weihong Deng
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IEEE Transactions on Multimedia, 2015
Large-scale image search has been attracting lots of attention from both academic and commercial fields. The conventional bag-of-visual-words (BoVW) model with inverted index is verified efficient at retrieving near-duplicate images, but it is less capable of discovering fine-grained concepts in the query and returning semantically matched search ...
Lingxi Xie +3 more
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Large-scale image search has been attracting lots of attention from both academic and commercial fields. The conventional bag-of-visual-words (BoVW) model with inverted index is verified efficient at retrieving near-duplicate images, but it is less capable of discovering fine-grained concepts in the query and returning semantically matched search ...
Lingxi Xie +3 more
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Philosophical Studies, 2011
A central job for propositions is to be the objects of the attitudes. Propositions are the things we doubt, believe and suppose. Some philosophers have thought that propositions are sets of possible worlds. But many have become convinced that such an account individuates propositions too coarsely.
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A central job for propositions is to be the objects of the attitudes. Propositions are the things we doubt, believe and suppose. Some philosophers have thought that propositions are sets of possible worlds. But many have become convinced that such an account individuates propositions too coarsely.
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Fine-Grained Interconnect Synthesis
ACM Transactions on Reconfigurable Technology and Systems, 2015One of the key challenges for the FPGA industry going forward is to make the task of designing hardware easier. A significant portion of that design task is the creation of the interconnect pathways between functional structures. We present a synthesis tool that automates this process and focuses on the interconnect needs in the fine-grained (sub-IP ...
Alex Rodionov +2 more
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Fine-Grained Redundancy in Adders
8th International Symposium on Quality Electronic Design (ISQED'07), 2007We present a technique for fault tolerance in prefix-based adders, and show its application by implementing a Kogge-Stone adder. The technique is based on the fact that an n-bit Kogge-Stone adder can be split into two independent n-bit Han-Carlson (HC) adders by augmenting an additional computation stage to the adder. The presence of single faults only
Patrick Ndai +3 more
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