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Titlebook: Industrial Design, Competition and Globalization; Grete Rusten (Professor),John R. Bryson (Professor Book 2010 Palgrave Macmillan, a divis

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Riding the Waves of Design: Industrial Design and Competitive Products in the Norwegian Marine, Mariwegian kroner (NOK) in 2009, and includes three tasks: a national business survey to investigate the use and competitive effects of design, economic support for new design projects and a Design Effect Award organized by the Norwegian Design Council (.).
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ic primitives (.object pose). We propose a theoretically grounded analysis for DNN robustness in the semantic space. We qualitatively analyze different DNNs’ semantic robustness by visualizing the DNN global behavior as semantic maps and observe interesting behavior of some DNNs. Since generating th
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Grete Rusten,John R. BrysonRemix, that relaxes Mixup’s formulation and enables the mixing factors of features and labels to be disentangled. Specifically, when mixing two samples, while features are mixed in the same fashion as Mixup, Remix assigns the label in favor of the minority class by providing a disproportionately hig
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Alan D. MacPherson,Vida VanchanWe argue that the pruning decision should depend on the convolutional weights, in other words, it should be a learnable function of filter weights. We thus construct the weight-dependent gates (W-Gates) to learn the information from filter weights and obtain binary filter gates to prune or keep the
发表于 2025-3-28 03:30:04 | 显示全部楼层
Norma Rantisieployed on emerging neural computing engines for smart monitoring and inspection purposes. In this paper, we present 360. vision system onboard an automobile or UAV platform for large field-of-view and real-time detection of multiple challenging objects. The targeted objects include flag as a deform
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Tara Vinodraiially important for applications where memory storage is limited. However, when aiming for quantization without accuracy degradation, different tasks may end up with different bitwidths. This creates complexity for software and hardware support and the complexity accumulates when one considers mixed
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Thomas A. HuttonHowever, CNNs rely on inherent inductive biases to achieve effective sample learning, which may degrade the performance ceiling. In this paper, motivated by the flexible self-attention mechanism with minimal inductive biases in transformer architecture, we reframe the generalised image outpainting p
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