image-net.org/api/text/imagenet.sbow.obtain_synset_list "ImageNet". Archived from the original on 5 April 2013. "ImageNet". Archived from...
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Alex Krizhevsky (section AlexNet)
resilience - AlexNet won the ImageNet challenge in 2012. The team presented their paper for AlexNet at NeurIPS (NIPS) 2012. Shortly after AlexNet’s debut, Krizhevsky...
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Scholar Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E (2012). "ImageNet Classification with Deep Convolutional Neural Networks". Advances in Neural...
27 KB (2,174 words) - 21:41, 19 April 2025
Li-Jia; Li, Kai; Fei-Fei, Li (2009). "Imagenet: A large-scale hierarchical image database". CVPR. "ImageNet". image-net.org. "How a stubborn computer scientist...
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prominence through its performance in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). It classifies images into 1,000 distinct object categories...
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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation; TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation...
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in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2014. It was used as a baseline comparison in the ResNet paper for image classification...
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Convolutional neural network (redirect from Convolutional neural net)
error. The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object classification and detection, with millions of images and hundreds...
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Residual neural network (redirect from DenseNet)
reference to the layer inputs. It was developed in 2015 for image recognition, and won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) of that...
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model achieved the same accuracy as AlexNet on ImageNet classification, but has a size 510x less than it. SqueezeNet was originally released on February 22...
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The image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge...
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{\displaystyle \mu _{\text{ref}}'} is the distribution of images in ImageNet and horizontally-reflected ImageNet, combined. The result of such training would be...
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Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (2017-05-24). "ImageNet classification with deep convolutional neural networks". Communications...
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Computer vision (redirect from Image recognition)
by the ImageNet Large Scale Visual Recognition Challenge; this is a benchmark in object classification and detection, with millions of images and 1000...
67 KB (7,695 words) - 20:35, 29 April 2025
measure the diversity of images created by a generative model with images in a reference dataset. The reference dataset could be ImageNet or COCO-2014. Using...
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of deeper architectures and GPU acceleration on image recognition performance. From the 2013 ImageNet competition, most entries adopted deep convolutional...
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Neural processing unit (redirect from Neural net accelerator)
Mohammad; Ordonez, Vicente; Redmon, Joseph; Farhadi, Ali (2016). "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks". arXiv:1603...
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was released under the copyleft license GPL. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which...
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Images in ImageNet are labelled using concepts in WordNet. Concepts that are easily expressed verbally, like "early", are seen as less "imageable" than nouns...
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computer vision and machine learning. She was one of the leaders of the ImageNet Large Scale Visual Recognition challenge and has been recognised by MIT...
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CIFAR-10 but with 100 classes and 600 images each. ImageNet (ILSVRC): 1 million color images of 1000 classes. Imagenet images are higher resolution, averaging...
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Objects in Context". cocodataset.org. Deng, Jia, et al. "Imagenet: A large-scale hierarchical image database."Computer Vision and Pattern Recognition, 2009...
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uncovered that large-scale image datasets commonly used to develop AI systems, including ImageNet and 80 Million Tiny Images, carried racist and misogynistic...
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architecture that has been pre-trained to perform object recognition using the ImageNet dataset. In 2017, Google AI introduced a method that allows a single deep...
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the standard preprocessing for ImageNet, which uses [0.485, 0.456, 0.406] and [0.229, 0.224, 0.225]. If the input image does not have the same resolution...
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actual machine learning situations. Consider training a GAN to generate ImageNet, a collection of photos of size 256-by-256. The space of all such photos...
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3 March 2012. Retrieved 16 June 2016. Gershgorn, Dave (26 July 2017). "ImageNet: the data that spawned the current AI boom — Quartz". qz.com. Retrieved...
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DeepDream (redirect from Deep Neural Net Dreams)
codenamed "Inception" after the film of the same name, was developed for the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) in 2014 and released...
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particular, Google Translate), image recognition (spurred by the ImageNet training database) as commercialized by Google Image Search, and in game-playing...
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Deep learning (redirect from Deep net)
unlabeled images taken from YouTube videos. In October 2012, AlexNet by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton won the large-scale ImageNet competition...
180 KB (17,764 words) - 08:07, 11 April 2025