arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics. There'll be lots of papers in advance. Here's some recent papers which is important or interesting.

1. Object Detection

even faster than fast rcnn, more end to end for detection, more accurate

You Only Look Once: Unified, Real-Time Object Detection

Faster R-CNN: Towards Real-Time Object Detection with RegionProposal Network

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2. cnn itself

more faster over cnn

Fast ConvNets Using Group-wise Brain Damage

more fine-grained visual recognition

Bilinear CNN Models for Fine-grained Visual Recognition

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new post process for classify

Classify Images with Conceptor Network

SVM and ELM: Who Wins? Object Recognitionwith Deep Convolutional Features from ImageNet

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how to combine multiple cnn?

Learning to Select Pre-Trained Deep Representations withBayesian Evidence Framework

3. image captioning

attributes/word layer

Image Captioning with an Intermediate Attributes Layer

4. OCR

Boosting Optical Character Recognition: ASuper-Resolution Approach

5. interesting work

Visual Learning of Arithmetic Operations

EventNet: A Large Scale Structured ConceptLibrary for Complex Event Detection in Video

巴特西

[3 Jun 2015 ~ 9 Jun 2015] Deep Learning in arxiv

1. Object Detection

even faster than fast rcnn, more end to end for detection, more accurate

You Only Look Once: Unified, Real-Time Object Detection

Faster R-CNN: Towards Real-Time Object Detection with RegionProposal Network

2. cnn itself

more faster over cnn

Fast ConvNets Using Group-wise Brain Damage

more fine-grained visual recognition

Bilinear CNN Models for Fine-grained Visual Recognition

new post process for classify

Classify Images with Conceptor Network

SVM and ELM: Who Wins? Object Recognitionwith Deep Convolutional Features from ImageNet

how to combine multiple cnn?

Learning to Select Pre-Trained Deep Representations withBayesian Evidence Framework

3. image captioning

attributes/word layer

Image Captioning with an Intermediate Attributes Layer

4. OCR

Boosting Optical Character Recognition: ASuper-Resolution Approach

5. interesting work

Visual Learning of Arithmetic Operations

EventNet: A Large Scale Structured ConceptLibrary for Complex Event Detection in Video

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