Multi-Label Image Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 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.

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

10 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 58 papers with code (124 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.
• ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
  5 May 2017 26 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases.
• reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
  4 Jul 2024 5 repositories listed
  To construct reBEN, we initially consider the Sentinel-1 and Sentinel-2 tiles used to construct the BigEarthNet dataset and then divide them into patches of size 1200 m x 1200 m.
• Residual Attention: A Simple but Effective Method for Multi-Label Recognition
  5 Aug 2021 5 repositories listed
  Multi-label image recognition is a challenging computer vision task of practical use.
• SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
  13 Nov 2022 4 repositories listed
  Self-supervised pre-training bears potential to generate expressive representations without human annotation.
• Improving Pairwise Ranking for Multi-label Image Classification
  11 Apr 2017 4 repositories listed
  Pairwise ranking, in particular, has been successful in multi-label image classification, achieving state-of-the-art results on various benchmarks.
• Self-supervised Learning in Remote Sensing: A Review
  27 Jun 2022 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In deep learning research, self-supervised learning (SSL) has received great attention triggering interest within both the computer vision and remote sensing communities.
• Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
  13 Dec 2021 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  Multi-label learning in the presence of missing labels (MLML) is a challenging problem.
• Multi-Label Learning from Single Positive Labels
  17 Jun 2021 2 repositories listed Syntology ran 3 of 13 samples · 10 unverified
  When the number of potential labels is large, human annotators find it difficult to mention all applicable labels for each training image.
• General Multi-label Image Classification with Transformers
  27 Nov 2020 2 repositories listed
  Multi-label image classification is the task of predicting a set of labels corresponding to objects, attributes or other entities present in an image.
• Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
  20 Feb 2017 2 repositories listed
  Analysis of the learned SRN model demonstrates that it can effectively capture both semantic and spatial relations of labels for improving classification performance.
• Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach
  20 May 2025 1 repository listed
  Subsequently, the source and target GMM parameters are leveraged to formulate an adversarial loss using the Fr\'echet distance.
• Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
  15 Aug 2024 1 repository listed
  Real-world data consistently exhibits a long-tailed distribution, often spanning multiple categories.
• Multi-Label Plant Species Classification with Self-Supervised Vision Transformers
  8 Jul 2024 1 repository listed
  We present a transfer learning approach using a self-supervised Vision Transformer (DINOv2) for the PlantCLEF 2024 competition, focusing on the multi-label plant species classification.
• LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery
  4 Jun 2024 1 repository listed
  ML-based computer vision models are promising tools for supporting emergency management operations following natural disasters.
• Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
  19 May 2024 1 repository listed
  (3) We try to verify the effectiveness of the gradient-alignment training method specified in the original paper, which is used to update the network parameters and pseudo labels.
• ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset
  16 May 2024 1 repository listed
  The dataset is suitable for training image annotation models based on image-caption pairs, or for multi-label image classification using Unified Medical Language System (UMLS) concepts provided with each image.
• TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt
  11 May 2024 1 repository listed Syntology ran 8 of 10 samples · 2 unverified · 10 pointer-only (licence)
  Then, a co-learning strategy with a dual-adapter module is designed to transfer visual knowledge from pseudo-visual prompt to text prompt, enhancing their visual representation abilities.
• Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
  9 Apr 2024 1 repository listed Syntology ran 12 of 15 samples · 3 unverified · 15 pointer-only (licence)
  In this paper, we provide a causal inference framework to show that the correlative features caused by the target object and its co-occurring objects can be regarded as a mediator, which has both positive and negative…
• NOAH: Learning Pairwise Object Category Attentions for Image Classification
  4 Feb 2024 1 repository listed
  We observe that the head structures of mainstream DNNs adopt a similar feature encoding pipeline, exploiting global feature dependencies while disregarding local ones.
• Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
  30 Jan 2024 1 repository listed
  Large-scale image datasets are often partially labeled, where only a few categories' labels are known for each image.
• ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification
  2 Jan 2024 1 repository listed
  We validate the effectiveness of our framework through experimentation with datasets from the computer vision and medical imaging domains.
• Language-Guided Transformer for Federated Multi-Label Classification
  12 Dec 2023 1 repository listed
  Nevertheless, it is still challenging for FL to deal with user heterogeneity in their local data distribution in the real-world FL scenario, and this issue becomes even more severe in multi-label image classification.
• SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
  26 Nov 2023 1 repository listed
  The "splice" in our method is two-fold: 1) Each mixed image is a splice of several downsampled images in the form of a grid, where the semantics of images attending to mixing are blended without object deficiencies for…
• Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing
  28 Oct 2023 1 repository listed
  Self-supervised learning guided by masked image modelling, such as Masked AutoEncoder (MAE), has attracted wide attention for pretraining vision transformers in remote sensing.
• CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
  31 Jul 2023 1 repository listed
  Using the aggregated similarity scores as the initial pseudo labels at the training stage, we propose an optimization framework to train the parameters of the classification network and refine pseudo labels for…
• Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification
  19 Jul 2023 1 repository listed
  Specifically, we leverage semantic-aware representation learning to extract category-related local discriminative features and construct category prototypes.
• PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
  18 Jul 2023 1 repository listed
  We find that by formulating the multi-label classification as a CT problem, we can exploit the interactions between the image and label efficiently by minimizing the bidirectional CT cost.
• Category Query Learning for Human-Object Interaction Classification
  24 Mar 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  Unlike most previous HOI methods that focus on learning better human-object features, we propose a novel and complementary approach called category query learning.
• Extending global-local view alignment for self-supervised learning with remote sensing imagery
  12 Mar 2023 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  While prior studies have explored multiple self-supervised learning techniques in remote sensing domain, pretext tasks based on local-global view alignment remain underexplored, despite achieving state-of-the-art…

Syntology lines on 9 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.