imagenet papers with code

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arXiv.org
ImageNet Large Scale Visual Recognition Challenge
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and millions of images. The challenge has been run annually from 2010 to present, attracting participation
Author: Russakovsky, …
Published: 2014/09/01
Page Count: 43
arXiv.org
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
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-made scheme, designed and tuned by an expert. In this paper, we present a unified scheme
Author: Ridnik, Tal, La…
Published: 2022/04/07
Cite As: arXiv:2204.03…
arXiv.org
Scalable Diffusion Models with Transformers
We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models of images, replacing the commonly-used U-Net backbone with a transformer that operates on latent patches. We analyze the scalability of
Author: Peebles, Willia…
Published: 2022/12/19
Cite As: arXiv:2212.09…
Papers With Code
https://paperswithcode.com/dataset/imagenet
ImageNet Dataset | Papers With Code
WEB42 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 Visual …
- Image 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-S Dataset
  Based on the ImageNet dataset, we propose the ImageNet-S dataset with …
- Tiny ImageNet Dataset
  Tiny ImageNet. Introduced by Le et al. in Tiny imagenet visual recognition …
- ImageNet Benchmark (Qua…
  The current state-of-the-art on ImageNet is FQ-ViT (ViT-L). See a full comparison of …
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Papers With Code
https://paperswithcode.com/task/image-classification
Image Classification | Papers With Code
WEB144 rows · 3888 papers with code • 144 benchmarks • 243 datasets Image …
- DATASET BEST MODEL
  ImageNet OmniVec (ViT)
  CIFAR-10 ViT-H/14
  CIFAR-100 EffNet-L2 (SAM)
  STL-10 VIT-L/16 (Spinal FC)
  See all 144 rows on paperswithcode.com
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Image Classification with Classic and Deep Learning …
arxiv.org
What is image classification?—ArcMap | Documentation - Esri
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ImageNet Benchmark (Image Classification) | Papers With Code
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ImageNet ReaL Benchmark (Image Classification) | Papers With Code
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ImageNet Benchmark (Data Augmentation) | Papers With Code
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Imagenet Benchmark Zero Shot Learning Papers With Code - Vrogue
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ImageNet Benchmark (Image Classification) | Papers With Code
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Papers With Code
https://stat.paperswithcode.com/sota/image-classification-on-imagenet-v2
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 31 papers with code.
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Imagenet Benchmark
Image Classification
Papers With Code
https://paperswithcode.com/sota/image-clustering-on-imagenet-100
ImageNet-100 Benchmark (Image Clustering) | Papers With Code
WEBThe current state-of-the-art on ImageNet-100 is TEMI CLIP ViT-L (openai). See a full comparison of 5 papers with code.
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Papers with Code
Imagenet Benchmark
Machine Learning
arXiv.org
https://arxiv.org/abs/1409.0575
[1409.0575] ImageNet Large Scale Visual Recognition …
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 …
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Imagenet Benchmark
Imagenet Paper
Computer Vision
Papers with Code
https://portal.paperswithcode.com/dataset/stylized-imagenet
Stylized ImageNet Dataset | Papers With Code
WEBThe Stylized-ImageNet dataset is created by removing local texture cues in ImageNet while retaining global shape information on natural images via AdaIN style transfer.
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ImageNet Dataset
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How many annotated images are in the ImageNet dataset?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 Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection. The publicly released dataset contains a set of manually annotated training images.
ImageNet Dataset | Papers With Code
paperswithcode.com
How many images are in tiny ImageNet?Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images and 50 test images. Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images.
Tiny ImageNet Dataset | Papers With Code
paperswithcode.com
How many images are in a synset of ImageNet?Figure 1: A snapshot of two root-to-leaf branches of ImageNet: the top row is from the mammal subtree; the bottom row is from the vehicle subtree. For each synset, 9 randomly sampled images are presented. Figure 2: Scale of ImageNet. Red curve: Histogram of number of images per synset.
ImageNet: A Large-Scale Hierarchical Image Database
image-net.org
How accurate is ImageNet?On Papers with Code, in the case of Imagenet, the performance is ranked by top-1 accuracy achieved. In this review, we will examine the technologies behind the top 40 best-ranked accuracies, which are reported in 22 papers (some papers present multiple models which rank multiple times).
The Current State of the Art in Deep Learning for Image Classification
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ACM Digital Library
https://dl.acm.org/doi/10.1145/3065386
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 …
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Machine Learning
Convolutional Neural Networks
Deep Learning
Papers With Code
https://paperswithcode.com/paper/guiding-a...
Guiding a Diffusion Model with a Bad Version of Itself - Papers …
WEB6 days ago · Guiding a Diffusion Model with a Bad Version of Itself. 4 Jun 2024 · Tero Karras , Miika Aittala , Tuomas Kynkäänniemi , Jaakko Lehtinen , Timo Aila , Samuli …
Papers With Code
https://astro.paperswithcode.com/dataset/imagenet-32
ImageNet-32 Dataset | Papers With Code
WEBImagenet32 is a huge dataset made up of small images called the down-sampled version of Imagenet. Imagenet32 is composed of 1,281,167 training data and 50,000 test data with …
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Papers with Code
ImageNet Dataset
Springer
https://link.springer.com/chapter/10.1007/978-3-031-10464-0_7
The Current State of the Art in Deep Learning for Image
WEBJul 7, 2022 · Papers with Code has become the best-known record of the state-of-the-art methods for all types of deep learning tasks, including image classification. On Papers …
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Papers with Code
Machine Learning
Image Classification On Imagenet
Medium
https://medium.com/paperswithcode/papers-with-code...
Papers with Code 2020 : A Year in Review | by Ross Taylor ...
WEBDec 30, 2020 · ImageNet was the most viewed benchmark on Papers with Code for 2020. ImageNet — Image Classification — https://paperswithcode.com/sota/image …
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Papers with Code
Imagenet Benchmark
Image Classification On Imagenet
arXiv.org
https://arxiv.org/abs/2204.03475
[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 …
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ImageNet Dataset
Imagenet Paper
arXiv:2204.03475 [cs.CV
IEEE Xplore
https://ieeexplore.ieee.org/document/5206848
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 …
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ImageNet
Publish Year:2009
Papers with Code
https://portal.paperswithcode.com/dataset/imagenet-sketch
ImageNet-Sketch Dataset | Papers With Code
WEBImageNet-Sketch data set consists of 50,889 images, approximately 50 images for each of the 1000 ImageNet classes. The data set is constructed with Google Image queries …
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Papers with Code
ImageNet
ImageNet
https://image-net.org/static_files/papers/imagenet_cvpr09.pdf
[PDF]
ImageNet: A Large-Scale Hierarchical Image Database
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 …
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Papers With Code
https://paperswithcode.com/paper/parameter...
Parameter-Inverted Image Pyramid Networks | Papers With Code
WEB4 days ago · To overcome this issue, we propose a novel network architecture known as the Parameter-Inverted Image Pyramid Networks (PIIP). Our core idea is to use models with …
Papers with Code
https://portal.paperswithcode.com/dataset/imagenet-p
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 …
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Papers with Code
ImageNet Dataset
Tiny ImageNet
Papers with Code
https://portal.paperswithcode.com/dataset/imagenet-9
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 …
arXiv.org
https://arxiv.org/abs/2212.09748
[2212.09748] Scalable Diffusion Models with Transformers
WEBDec 19, 2022 · View a PDF of the paper titled Scalable Diffusion Models with Transformers, by William Peebles and 1 other authors ... our largest DiT-XL/2 models outperform all …
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Papers with Code
Imagenet Paper
Scalable Diffusion Models
arXiv.org
https://arxiv.org/abs/2406.05120
Contextual fusion enhances robustness to image blurring
WEB2 days ago · This enables improved robustness and generalization versus deep neural networks, which typically process one modality and are vulnerable to perturbations. …
arXiv.org
https://arxiv.org/abs/2406.02507
Title: Guiding a Diffusion Model with a Bad Version of Itself
WEB5 days ago · The primary axes of interest in image-generating diffusion models are image quality, the amount of variation in the results, and how well the results align with a given …
arXiv.org
https://arxiv.org/abs/2406.03702
Title: DSNet: A Novel Way to Use Atrous Convolutions in …
WEB3 days ago · Atrous convolutions are employed as a method to increase the receptive field in semantic segmentation tasks. However, in previous works of semantic segmentation, …
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ImageNet Dataset | Papers With Code

Image Classification

ImageNet-D Dataset

ImageNet-S Dataset

Tiny ImageNet Dataset

ImageNet Benchmark (Qua…

Image Classification | Papers With Code

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Images of ImageNet Papers With Code

ImageNet V2 Benchmark (Image Classification) | Papers With Code

ImageNet-100 Benchmark (Image Clustering) | Papers With Code

[1409.0575] ImageNet Large Scale Visual Recognition …

Stylized ImageNet Dataset | Papers With Code

ImageNet Dataset | Papers With Code

Tiny ImageNet Dataset | Papers With Code

ImageNet: A Large-Scale Hierarchical Image Database

The Current State of the Art in Deep Learning for Image Classification

ImageNet classification with deep convolutional neural networks

Guiding a Diffusion Model with a Bad Version of Itself - Papers …

ImageNet-32 Dataset | Papers With Code

The Current State of the Art in Deep Learning for Image

Papers with Code 2020 : A Year in Review | by Ross Taylor ...

[2204.03475] Solving ImageNet: a Unified Scheme for Training …

ImageNet: A large-scale hierarchical image database

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ImageNet-Sketch Dataset | Papers With Code

ImageNet: A Large-Scale Hierarchical Image Database

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Must include:

Parameter-Inverted Image Pyramid Networks | Papers With Code

ImageNet-P Dataset | Papers With Code

ImageNet-9 Dataset | Papers With Code

[2212.09748] Scalable Diffusion Models with Transformers

Contextual fusion enhances robustness to image blurring

Title: Guiding a Diffusion Model with a Bad Version of Itself

Title: DSNet: A Novel Way to Use Atrous Convolutions in …

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DATASET	BEST MODEL
ImageNet	OmniVec (ViT)
CIFAR-10	ViT-H/14
CIFAR-100	EffNet-L2 (SAM)
STL-10	VIT-L/16 (Spinal FC)