[Tue, 11 Aug 2015 ~ Mon, 17 Aug 2015] Deep Learning in arxiv
分类:deep learning
Image Representations and New Domains inNeural Image Captioning
we find that a state-of-theart neuralcaptioning algorithm is able to produce quality captions even when providedwith surprisingly poor image representations
Deep Boosting: Joint Feature Selection andAnalysis Dictionary Learning in Hierarchy
This work investigates how the traditionalimage classification pipelines can be extended into a deep architecture,inspired by recent successes of deep neural networks
Digging Deep into the layers of CNNs: InSearch of How CNNs Achieve View Invariance
A practical guide to CNNs and FisherVectors for image instance retrieval
CNN robust to scale but not robust torotation (unless your training data contains rotation samples)
FV + CNN maybe better
Submodular Reranking with Multiple FeatureModalities for Image Retrieval
Our submodularreranking framework can be easily generalized to any generic reranking problemsfor real-time search engines
Benchmarking of LSTM Networks
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上一篇[Tue, 21 Jul 2015 ~ Mon, 27 Jul 2015] Deep Learning in arxiv
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