[Tue, one-off ~ Mon, 2015] Deep Learning in arxiv

Image representations and New Domains inneural image captioning

We find that a State-of-theart neuralcaptioning algorithm are able to produce quality captions even when Providedwith SURPR isingly Poor image representations

Deep Boosting:joint Feature Selection andanalysis Dictionary Learning in Hierarchy

This work investigates how the Traditionalimage classification pipelines can is extended into a deep architecture,inspired By recent successes of the deep neural networks

Digging deep to 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 and 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 is easily generalized to any generic reranking problemsfor real-time search engines

Benchmarking of LSTM Networks

Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced.

[Tue, one-off ~ Mon, 2015] Deep Learning in arxiv