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ImageNet Dataset | Papers With Code
WEB44 rows — The **ImageNet** dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale …
See results only from paperswithcode.comImage Classification
The current state-of-the-art on ImageNet is OmniVec(ViT). See a full comparison of …
ImageNet-D Dataset
ImageNet-D contains 4835 test images featuring diverse backgrounds (3,764), …
ImageNet-P Dataset
ImageNet-P consists of noise, blur, weather, and digital distortions. The …
ImageNet-Patch Dataset
ImageNet-Patch: A Dataset for Benchmarking Machine Learning …
ImageNet Benchmark (Image Classification) | Papers …
WEBThe current state-of-the-art on ImageNet is OmniVec(ViT). See a full comparison of 991 papers with code.
Image Classification | Papers With Code
WEB152 rows — Image Classification. 4086 papers with code • 152 …
- Studies of imagenet papers with code
[1409.0575] ImageNet Large Scale Visual Recognition Challenge
WEBSep 1, 2014 — The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and …
ImageNet-10 Benchmark (Image Classification) | Papers With Code
WEBThe current state-of-the-art on ImageNet-10 is ResNet-50 + UDA+AutoDropout. See a full comparison of 1 papers with code.
ImageNet: A large-scale hierarchical image database
WEBWe introduce here a new database called “ImageNet”, a large-scale ontology of images built upon the backbone of the WordNet structure. ImageNet aims to populate the majority of …
[1902.10811] Do ImageNet Classifiers Generalize to ImageNet?
WEBFeb 13, 2019 — By closely following the original dataset creation processes, we test to what extent current classification models generalize to new data. We evaluate a broad range …
WEBWe trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 dif-ferent classes. …
ImageNet
WEBImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and …
ImageNet-S Dataset | Papers With Code
WEBBased on the ImageNet dataset, we propose the ImageNet-S dataset with 1.2 million training images and 50k high-quality semantic segmentation annotations for evaluation. …
ImageNet - Wikipedia
WEBThe ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1][2] images have been hand …
[2204.03475] Solving ImageNet: a Unified Scheme for Training …
WEBApr 7, 2022 — ImageNet serves as the primary dataset for evaluating the quality of computer-vision models. The common practice today is training each architecture with a tailor …
ImageNet classification with deep convolutional neural networks
WEBMay 24, 2017 — We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 …
ImageNet
WEBSep 17, 2019 — In ImageNet, we aim to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its …
WEBThis paper offers a detailed analysis of ImageNet in its current state: 12 subtrees with 5247 synsets and 3.2 million images in total. We show that ImageNet is much larger in scale …
ImageNet V2 Benchmark (Image Classification) | Papers With Code
WEBThe current state-of-the-art on ImageNet V2 is Model soups (BASIC-L). See a full comparison of 33 papers with code.
WEBImageNet Classification with Deep Convolutional Neural Networks. By Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. Abstract. We trained a large, deep convolutional …
ImageNet-P Dataset | Papers With Code
WEBImageNet-P consists of noise, blur, weather, and digital distortions. The dataset has validation perturbations; has difficulty levels; has CIFAR-10, Tiny ImageNet, ImageNet …
WEBThe ImageNet Large Scale Visual Recogni-tion Challenge (ILSVRC) has been running annually for ve years (since 2010) and has become the standard benchmark for large …
ImageNet-Patch Dataset | Papers With Code
WEBMar 6, 2022 — ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches. Adversarial patches are optimized contiguous pixel blocks …
ImageNet-D Dataset | Papers With Code
WEBImageNet-D contains 4835 test images featuring diverse backgrounds (3,764), textures (498), and materials (573). Generated by diffusion models, ImageNet-D achieves …
Papers with Code - ImageNet Classification with Deep …
WEBImageNet Classification with Deep Convolutional Neural Networks. We trained a large, deep convolutional neural network to classify the 1.3 million high-resolution images in the …
Revisiting Class-Incremental Learning with Pre-Trained Models ...
WEB2 days ago — In the main paper, we show the improvement of best Aper variation to SimpleCIL with different backbones on ImageNet-R. In this section, we report the results …
ImageNet-9 Dataset | Papers With Code
WEBImageNet-9 consists of images with different amounts of background and foreground signal, which you can use to measure the extent to which your models rely on image …
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