Image Classification

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

177 leaderboard tables shown for this task, 166 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 177 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

283 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 283 until expanded.

Subtasks archive 2025-07-28

33 subtasks in the archive's task tree. 30 shown of 33 until expanded.

Most implemented papers archive 2025-07-28

30 shown of 4,702 papers with code (10,488 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Residual Learning for Image Recognition
  10 Dec 2015 484 repositories listed Syntology ran 230 of 377 samples · 147 unverified · 187 pointer-only (licence)
  Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
• Very Deep Convolutional Networks for Large-Scale Image Recognition
  4 Sep 2014 305 repositories listed Syntology ran 12 of 122 samples · 110 unverified · 4 pointer-only (licence)
  In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting.
• MobileNetV2: Inverted Residuals and Linear Bottlenecks
  13 Jan 2018 159 repositories listed Syntology ran 85 of 111 samples · 26 unverified · 64 pointer-only (licence)
  In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes.
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
  22 Oct 2020 158 repositories listed Syntology ran 281 of 419 samples · 138 unverified · 154 pointer-only (licence)
  While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited.
• Densely Connected Convolutional Networks
  25 Aug 2016 146 repositories listed Syntology ran 18 of 71 samples · 53 unverified · 7 pointer-only (licence)
  Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  28 May 2019 144 repositories listed Syntology ran 171 of 302 samples · 131 unverified · 112 pointer-only (licence)
  Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available.
• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
  7 Oct 2016 126 repositories listed Syntology ran 79 of 141 samples · 62 unverified · 68 pointer-only (licence)
  For captioning and VQA, we show that even non-attention based models can localize inputs.
• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
  7 Oct 2016 126 repositories listed Syntology ran 79 of 141 samples · 62 unverified · 68 pointer-only (licence)
  For captioning and VQA, we show that even non-attention based models can localize inputs.
• CSPNet: A New Backbone that can Enhance Learning Capability of CNN
  27 Nov 2019 123 repositories listed
  Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.
• Rethinking the Inception Architecture for Computer Vision
  2 Dec 2015 113 repositories listed Syntology ran 5 of 26 samples · 21 unverified · 4 pointer-only (licence)
  Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks.
• A Simple Framework for Contrastive Learning of Visual Representations
  13 Feb 2020 96 repositories listed Syntology ran 79 of 137 samples · 58 unverified · 52 pointer-only (licence)
  This paper presents SimCLR: a simple framework for contrastive learning of visual representations.
• Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  23 Feb 2016 87 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Recently, the introduction of residual connections in conjunction with a more traditional architecture has yielded state-of-the-art performance in the 2015 ILSVRC challenge; its performance was similar to the latest…
• Squeeze-and-Excitation Networks
  5 Sep 2017 85 repositories listed Syntology ran 2 of 9 samples · 7 unverified · 6 pointer-only (licence)
  Squeeze-and-Excitation Networks formed the foundation of our ILSVRC 2017 classification submission which won first place and reduced the top-5 error to 2.
• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  9 Mar 2017 85 repositories listed Syntology ran 86 of 154 samples · 68 unverified · 57 pointer-only (licence)
  We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including…
• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  9 Mar 2017 85 repositories listed Syntology ran 86 of 154 samples · 68 unverified · 57 pointer-only (licence)
  We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including…
• Going Deeper with Convolutions
  17 Sep 2014 83 repositories listed Syntology ran 27 of 42 samples · 15 unverified · 20 pointer-only (licence)
  We propose a deep convolutional neural network architecture codenamed "Inception", which was responsible for setting the new state of the art for classification and detection in the ImageNet Large-Scale Visual…
• Learning Transferable Visual Models From Natural Language Supervision
  26 Feb 2021 82 repositories listed Syntology ran 16 of 20 samples · 4 unverified · 16 pointer-only (licence)
  State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories.
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  25 Mar 2021 80 repositories listed Syntology ran 108 of 207 samples · 99 unverified · 43 pointer-only (licence)
  This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision.
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  25 Mar 2021 80 repositories listed Syntology ran 108 of 207 samples · 99 unverified · 43 pointer-only (licence)
  This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision.
• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
  7 Feb 2018 78 repositories listed Syntology ran 43 of 72 samples · 29 unverified · 40 pointer-only (licence)
  The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling operations at multiple rates and multiple effective fields-of-view, while the latter…
• Dynamic Routing Between Capsules
  26 Oct 2017 77 repositories listed Syntology ran 18 of 118 samples · 100 unverified · 12 pointer-only (licence)
  We use the length of the activity vector to represent the probability that the entity exists and its orientation to represent the instantiation parameters.
• Wide Residual Networks
  23 May 2016 72 repositories listed Syntology ran 60 of 96 samples · 36 unverified · 46 pointer-only (licence)
  Deep residual networks were shown to be able to scale up to thousands of layers and still have improving performance.
• mixup: Beyond Empirical Risk Minimization
  25 Oct 2017 71 repositories listed Syntology ran 30 of 47 samples · 17 unverified · 15 pointer-only (licence)
  We also find that mixup reduces the memorization of corrupt labels, increases the robustness to adversarial examples, and stabilizes the training of generative adversarial networks.
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
  11 Feb 2015 70 repositories listed Syntology ran 14 of 21 samples · 7 unverified · 5 pointer-only (licence)
  Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change.
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
  11 Feb 2015 70 repositories listed Syntology ran 14 of 21 samples · 7 unverified · 5 pointer-only (licence)
  Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change.
• Searching for MobileNetV3
  6 May 2019 67 repositories listed Syntology ran 58 of 105 samples · 47 unverified · 46 pointer-only (licence)
  We achieve new state of the art results for mobile classification, detection and segmentation.
• Pyramid Scene Parsing Network
  4 Dec 2016 67 repositories listed Syntology ran 7 of 29 samples · 22 unverified · 5 pointer-only (licence)
  Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.
• Aggregated Residual Transformations for Deep Neural Networks
  16 Nov 2016 61 repositories listed Syntology ran 34 of 80 samples · 46 unverified · 13 pointer-only (licence)
  Our simple design results in a homogeneous, multi-branch architecture that has only a few hyper-parameters to set.
• Aggregated Residual Transformations for Deep Neural Networks
  16 Nov 2016 61 repositories listed Syntology ran 34 of 80 samples · 46 unverified · 13 pointer-only (licence)
  Our simple design results in a homogeneous, multi-branch architecture that has only a few hyper-parameters to set.
• DARTS: Differentiable Architecture Search
  24 Jun 2018 59 repositories listed Syntology ran 66 of 156 samples · 90 unverified · 48 pointer-only (licence)
  This paper addresses the scalability challenge of architecture search by formulating the task in a differentiable manner.

Syntology lines on 29 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.