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

时间：2022-12-14 17:44:42

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


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

 

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


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


2. cnn itself

more faster over cnn

Fast ConvNets Using Group-wise Brain Damage

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


more fine-grained visual recognition

Bilinear CNN Models for Fine-grained Visual Recognition


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


new post process for classify

Classify Images with Conceptor Network


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


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


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

how to combine multiple cnn?

Learning to Select Pre-Trained Deep Representations withBayesian Evidence Framework


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


3. image captioning

attributes/word layer

Image Captioning with an Intermediate Attributes Layer


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

4. OCR

Boosting Optical Character Recognition: ASuper-Resolution Approach


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

5. interesting work

Visual Learning of Arithmetic Operations


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


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


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

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