Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

72 leaderboard tables shown for this task, 58 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 72 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

222 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 222 until expanded.

Subtasks archive 2025-07-28

24 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 3,778 papers with code (12,815 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.
• YOLOv3: An Incremental Improvement
  8 Apr 2018 311 repositories listed Syntology ran 18 of 124 samples · 106 unverified · 19 pointer-only (licence)
  At 320x320 YOLOv3 runs in 22 ms at 28.
• 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.
• 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.
• 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…
• 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.
• A ConvNet for the 2020s
  10 Jan 2022 54 repositories listed Syntology ran 54 of 80 samples · 26 unverified · 11 pointer-only (licence)
  The "Roaring 20s" of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art image classification model.
• Convolutional Pose Machines
  30 Jan 2016 50 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 3 pointer-only (licence)
  Pose Machines provide a sequential prediction framework for learning rich implicit spatial models.
• Xception: Deep Learning with Depthwise Separable Convolutions
  7 Oct 2016 41 repositories listed Syntology ran 1 of 15 samples · 14 unverified
  We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution…
• EfficientNetV2: Smaller Models and Faster Training
  1 Apr 2021 26 repositories listed Syntology ran 41 of 79 samples · 38 unverified · 10 pointer-only (licence)
  By pretraining on the same ImageNet21k, our EfficientNetV2 achieves 87.
• Learning Transferable Architectures for Scalable Image Recognition
  21 Jul 2017 17 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  In our experiments, we search for the best convolutional layer (or "cell") on the CIFAR-10 dataset and then apply this cell to the ImageNet dataset by stacking together more copies of this cell, each with their own…
• ResNet strikes back: An improved training procedure in timm
  1 Oct 2021 14 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We share competitive training settings and pre-trained models in the timm open-source library, with the hope that they will serve as better baselines for future work.
• RegNet: Self-Regulated Network for Image Classification
  3 Jan 2021 14 repositories listed
  The ResNet and its variants have achieved remarkable successes in various computer vision tasks.
• Resurrecting Recurrent Neural Networks for Long Sequences
  11 Mar 2023 11 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are hard to optimize and slow to train.
• ViViT: A Video Vision Transformer
  29 Mar 2021 10 repositories listed Syntology ran 14 of 21 samples · 7 unverified · 1 pointer-only (licence)
  We present pure-transformer based models for video classification, drawing upon the recent success of such models in image classification.
• GLM: General Language Model Pretraining with Autoregressive Blank Infilling
  18 Mar 2021 8 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  On a wide range of tasks across NLU, conditional and unconditional generation, GLM outperforms BERT, T5, and GPT given the same model sizes and data, and achieves the best performance from a single pretrained model with…
• DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  25 Jul 2019 7 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  \emph{Over-fitting} and \emph{over-smoothing} are two main obstacles of developing deep Graph Convolutional Networks (GCNs) for node classification.
• Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
  19 Mar 2018 7 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  Recent region-based object detectors are usually built with separate classification and localization branches on top of shared feature extraction networks.
• SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
  14 Nov 2019 6 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Following these guidelines, we design our Fully Convolutional Siamese tracker++ (SiamFC++) by introducing both classification and target state estimation branch(G1), classification score without ambiguity(G2), tracking…
• Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
  5 Feb 2019 6 repositories listed
  We explore and expand the Soft Nearest Neighbor Loss to measure the entanglement of class manifolds in representation space: i.
• Music Artist Classification with Convolutional Recurrent Neural Networks
  14 Jan 2019 6 repositories listed
  To this end, an established classification architecture, a Convolutional Recurrent Neural Network (CRNN), is applied to the artist20 music artist identification dataset under a comprehensive set of conditions.
• FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification
  10 Jul 2024 5 repositories listed
  Herein, we propose an efficient and effective slide-level classification model, named as FALFormer, that can process a WSI as a whole so as to fully exploit the relationship among the entire patches and to improve the…
• PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series
  30 May 2023 5 repositories listed Syntology ran 0 of 21 samples · 21 unverified
  PyPOTS is an open-source Python library dedicated to data mining and analysis on multivariate partially-observed time series, i.
• Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
  4 Jul 2022 5 repositories listed
  In this study, we focus on transferring knowledge for video classification tasks.
• Augmenting Convolutional networks with attention-based aggregation
  27 Dec 2021 5 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  We show how to augment any convolutional network with an attention-based global map to achieve non-local reasoning.
• AST: Audio Spectrogram Transformer
  5 Apr 2021 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  In the past decade, convolutional neural networks (CNNs) have been widely adopted as the main building block for end-to-end audio classification models, which aim to learn a direct mapping from audio spectrograms to…
• Universal Representation Learning from Multiple Domains for Few-shot Classification
  25 Mar 2021 5 repositories listed Syntology ran 12 of 26 samples · 14 unverified
  In this paper, we look at the problem of few-shot classification that aims to learn a classifier for previously unseen classes and domains from few labeled samples.
• Trusted Multi-View Classification
  3 Feb 2021 5 repositories listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  To this end, we propose a novel multi-view classification method, termed trusted multi-view classification, which provides a new paradigm for multi-view learning by dynamically integrating different views at an evidence…
• Asymmetric Loss For Multi-Label Classification
  29 Sep 2020 5 repositories listed Syntology ran 4 of 12 samples · 8 unverified · 7 pointer-only (licence)
  In this paper, we introduce a novel asymmetric loss ("ASL"), which operates differently on positive and negative samples.
• The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
  24 Apr 2020 5 repositories listed
  Appropriate and timely deployment of disease management depends on early disease detection.

Syntology lines on 24 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.