fine-grained classification
A comparison of dense region detectors for image search and fine-grained classification
... Index Terms—dense keypoints, image retrieval, fine-grained classification, Zernike polynomials I. I NTRODUCTION L OCAL image description is a popular research topic in computer vision, as it is ...
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Spatially Consistent Nearest Neighbor Representations for Fine-Grained Classification
... called Fine-Grained Object Classification [ GMJP14 ] which corresponds to a particular classification task where classes may be visually distinguishable only based on subtle localized details ...
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Uncertainty in predictions of deep learning models for fine-grained classification
... cost-sensitive classification and bipartite ranking tasks in which the label corresponds to whether the classifier has made an error for a given input or ...
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Categorizing plant images at the variety level: Did you say fine-grained?
... image classification techniques can generalize to such specific contexts and avoid the cost of building specific ad-hoc ...challenging fine-grained classification tasks, even for expert human ...
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Fine-grained breast cancer classification with bilinear convolutional neural networks (BCNNS)
... Fine-grained classification can be applied to distinguish between the small inter-class and large intra-class variances in histopathological ...images. Fine-grained image ...
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Fine-Grained Detection of Inverse Tone Mapping in HDR Images
... SVM [58] with a Gaussian kernel. The parameters of the SVM are searched using a five-fold cross validation with a multiplication grid as suggested in [20]. 550 Results reported in Tables 2-4 show the image ...
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An hybrid method for fine-grained content based image retrieval
... ne grained classi cation in ... ne grained classi cation challenges, it has been decided to work on Caltech- 256 [ Gri n et ...dataset. Fine grained classi cation challenges are present in ...
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Fine-grained Locality-aware Parallel Scheme for Anisotropic Mesh Adaptation
... Further measures (unit task costs – not only for remeshing ones – e ffective memory bandwidth/latency) have to be done to compare the predicted execution time with the real elapsed time, and to assess the accuracy of the ...
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A Fine-grained Approach for Power Consumption Analysis and Prediction
... A Fine-grained Approach for Power Consumption Analysis and Prediction 9 limited amount of energy available for mobile devices and embedded systems, or because of the cost (finan- cial and environmental) of ...
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Characterizing phonetic transformations and fine-grained acoustic differences across dialects
... Using reference phones as a comparison basis, we can explicitly model phonetic and acoustic transformations occurring in different dialects, making the dialect recognizer r[r] ...
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Classification fine par réseau de neurones à convolution
... Chapitre 2 Expérimentations préliminaires Le but de notre projet était de classifier des essences d’arbres uniquement grâce à des images RGB standards de leur écorce. Nous avions une forte intuition que c’était possible ...
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Fine-grained facial landmark detection exploiting intermediate feature representations
... 7. Conclusions and Future Work We presented an novel effective end-to-end framework for Fine-grained Facial Landmark Detection based on coordinate regression deep neural network models. We showed that low- ...
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A fine-grained response time analysis technique in heterogeneous environments
... Abstract Ii is crucial for the network operators and Internet service providers (ISPs) to deter- mine the reasons that cause large response time fluctuations. In this paper, we consider passive measurements from ...
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Fine-Grained Multithreading for the Multifrontal QR Factorization of Sparse Matrices
... • d3: the panel operation can be executed on block-column i only if it is up-to-date with respect to panel i − 1; • d4: a block-column can be updated with respect to a panel i in its fro[r] ...
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External Dynamics and Sediments; Thixotropy in Transported Fine-Grained Soils
... L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB. NRC Publicat[r] ...
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Fine-Grained Fault Tolerance For Resilient pVM-based Virtual Machine Monitors
... We are interested in the following metrics: (1) the overhead of our solution on the performance of dom0 services; (2) the overhead of our solution on the performance of user VMs; (3) the[r] ...
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Fine-grained and coarse-grained reactive noninterference
... a fine-grained observation of programs (the observer is viewed as a program) and a coarse-grained observation (the observer is viewed as part of the ...than fine-grained RNI, because it ...
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Explaining fine-grained properties of human cooperation : Insights from evolutionary game theory
... Second, importing models from matching theory in economics we, however, show that, when individuals can plastically modulate their choosiness in function of their own cooperation level, [r] ...
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Fine-grained nested virtual machine performance analysis through first level hypervisor tracing
... In [8], they proposed a technique to investigate different states of VMs. They could find the preempted VM along with the cause of preemption. In their case, they trace each VM and also the host kernel. After tracing, ...
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The consolidation and strength behavior of mechanically compressed fine-grained sediments
... Combining stress-strain and pore pressure data, Figure 6-20 plots the effective stress paths for the same tests. At OCR = 1 the soil exhibits entirely contractive be[r] ...
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