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ImageNet
Results: 54

#	Item
11	ELU-Networks: Fast and Accurate CNN Learning on ImageNet Martin Heusel, Djork-Arné Clevert, Günter Klambauer, Andreas Mayr, Karin Schwarzbauer, Thomas Unterthiner, and Sepp Hochreiter Abstract: Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-21 07:26:55 Artificial neural networks Machine learning Artificial intelligence Cybernetics Sepp Hochreiter Deep learning Rectifier Activation function MNIST database Backpropagation Autoencoder Boltzmann machine
12	Knowledge Guided Disambiguation for Scene Recognition with Multi-Resolution CNNs Limin Wang, Sheng Guo, Weilin Huang, Yu Qiao Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Multi-Resolution CNNs Add to Reading List Source URL: image-net.org Language: English - Date: 2015-12-21 11:37:40 Computational neuroscience Applied mathematics Cybernetics Cognitive science Convolutional neural network Artificial intelligence ImageNet Artificial neural network Word-sense disambiguation Corr Knowledge
13	Robust Single-View Instance Recognition David Held, Sebastian Thrun, Silvio Savarese Abstract— Some robots must repeatedly interact with a fixed set of objects in their environment. To operate correctly, it is helpful Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2016-04-30 19:03:42 Artificial intelligence Computational neuroscience Vision Cybernetics Artificial neural networks Computer vision Convolutional neural network Deep learning Outline of object recognition One-shot learning ImageNet Cross-validation
14	YFCC100M: The New Data in Multimedia Research Bart Thomee David A. Shamma Gerald Friedland Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-04-27 00:56:28 Computing Data Artificial intelligence Digital photography Data management ImageNet Flickr Convolutional neural network Geotagged photograph Facial recognition system
15	M OTIVATION • Deep feature learning is heavily co-related with sample selection, while some outliers or hard samples may degenerate the performance. An interesting problem arises, which is the focus of this work: How t Add to Reading List Source URL: image-net.org Language: English - Date: 2015-12-16 23:04:50 Research ImageNet Experiment Greedy Algorithm Randomness
16	Deep Learning for Fast and Accurate Fashion Item Detection Evgeny Smirnov Anton Kulinkin Add to Reading List Source URL: kddfashion2016.mybluemix.net Language: English - Date: 2016-08-14 10:56:48 Computational neuroscience Artificial neural networks Artificial intelligence Computer vision Convolutional neural network Deep learning Feature detection Outline of object recognition Image segmentation ImageNet Object detection Feature
17	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation Di Lin1∗ Jifeng Dai2 Jiaya Jia1 Kaiming He2 Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2016-04-11 06:58:24 Computational neuroscience Image segmentation ImageNet Annotation Artificial neural network
18	ShapeNet: An Information-Rich 3D Model Repository http://www.shapenet.org 1 Angel X. Chang , Thomas Funkhouser2 , Leonidas Guibas1 , Pat Hanrahan1 , Qixing Huang3 , Zimo Li3 , Silvio Savarese1 , Manolis Savva∗1 , Shura Add to Reading List Source URL: vision.princeton.edu Language: English - Date: 2015-12-11 21:56:52 Image processing Visual effects ImageNet 3D computer graphics 3D scanner LabelMe WordNet Computer vision 3D modeling Shape analysis Outline of object recognition Annotation
19	Deep Features to Classify Skin Lesions Jeremy Kawahara, A¨ıcha BenTaieb, and Ghassan Hamarneh Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada ABSTRACT Diagnosing an unknown skin Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2016-02-06 13:56:21 RTT Computational neuroscience Computer vision Convolutional neural network Deep learning ImageNet Melanoma Dermatoscopy Support vector machine Image segmentation K-nearest neighbors algorithm Feature
20	Using Pre-Trained Models for Fine-Grained Image Classification in Fashion Field Anna Iliukovich-Strakovskaia Alexey Dral Add to Reading List Source URL: kddfashion2016.mybluemix.net Language: English - Date: 2016-08-14 10:56:50 Machine learning Deep learning Convolutional neural network Pattern recognition Artificial neural network Computer vision Boosting Supervised learning Dimensionality reduction ImageNet Statistical classification Cross-validation

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