飞行员
发表于 2025-3-23 09:42:04
Analysis of Cell Motility in Living Cells,d theoretical implications. However, there is hardly any reported research on this topic in the literature. This paper addresses this problem by proposing a novel feature to detect smoke in a single image. An image formation model that expresses an image as a linear combination of smoke and non-smok
Control-Group
发表于 2025-3-23 16:01:15
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刀锋
发表于 2025-3-23 19:40:30
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FRAX-tool
发表于 2025-3-24 00:24:25
https://doi.org/10.1007/978-1-62703-266-7val such as annotation and content-based search. As the number of classes increases and finer classification is considered (e.g. specific dog breed), high accuracy is often not possible in such challenging conditions, resulting in a system that will often suggest a wrong label. However, predicting a
PALMY
发表于 2025-3-24 03:33:35
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整洁漂亮
发表于 2025-3-24 10:06:53
Cytoskeleton Dynamics and Binding Factorsle for discrimination. However, part localization is a challenging task due to the large variation of appearance and pose. In this paper, we show how pre-trained convolutional neural networks can be used for robust and efficient object part discovery and localization without the necessity to actuall
耐寒
发表于 2025-3-24 13:51:36
https://doi.org/10.1007/978-1-62703-266-7lar application. This paper compares nine popular local descriptors in the context of 3D shape retrieval, 3D object recognition, and 3D modeling. We first evaluate these descriptors on six popular datasets in terms of descriptiveness. We then test their robustness with respect to support radius, Gau
柔软
发表于 2025-3-24 16:32:52
Elena E. Grintsevich,Emil Reislerts interaction with the context. In this paper, we present a novel text detection method combining two main ingredients: the robust extension of Stroke Width Transform (SWT) and the Deep Belief Network (DBN) based discrimination of text objects from other scene components. In the former, smoothness-
琐事
发表于 2025-3-24 20:38:25
Rochester Series on Environmental Toxicity the case of sketch recognition – abstraction, exaggeration and distortion. Existing studies have attempted to address this task by engineering invariant features, or learning a common subspace between the modalities. In this paper, we take a different approach and explore learning a mid-level repre
HIKE
发表于 2025-3-25 00:42:47
Alessandra Gallo,Elisabetta Tosti However, most of these methods depend on . input depth measurements, while discarding unreliable ones. This paper studies how reliable depth values can be used to . the unreliable ones, and how to . (or extend) the available depth data beyond the raw measurements of the sensor (i.e. infer depth at