Fine-Grained Visual Categorization

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 31 papers with code (69 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.

• Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
  26 Apr 2020 8 repositories listed
  In this work we explore the task of instance segmentation with attribute localization, which unifies instance segmentation (detect and segment each object instance) and fine-grained visual attribute categorization…
• Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
  20 Mar 2020 6 repositories listed
  Therefore, our multi-branch and multi-scale learning network(MMAL-Net) has good classification ability and robustness for images of different scales.
• 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.
• iCassava 2019 Fine-Grained Visual Categorization Challenge
  8 Aug 2019 5 repositories listed
  Viral diseases are major sources of poor yields for cassava, the 2nd largest provider of carbohydrates in Africa.
• Feathers dataset for Fine-Grained Visual Categorization
  18 Apr 2020 2 repositories listed
  This paper introduces a novel dataset FeatherV1, containing 28, 272 images of feathers categorized by 595 bird species.
• Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
  25 Sep 2019 2 repositories listed
  Specifically, we incorporate convolutional operations along edges of the tree structure, and use the routing functions in each node to determine the root-to-leaf computational paths within the tree.
• Classification-Specific Parts for Improving Fine-Grained Visual Categorization
  16 Sep 2019 2 repositories listed
  Fine-grained visual categorization is a classification task for distinguishing categories with high intra-class and small inter-class variance.
• Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
  28 Jul 2018 2 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  Fine-grained visual categorization (FGVC) is challenging due in part to the fact that it is often difficult to acquire an enough number of training samples.
• VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization
  1 Oct 2017 2 repositories listed
  While the existing datasets for FGVC are mainly focused on animal breeds or man-made objects with limited labelled data, VegFru is a larger dataset consisting of vegetables and fruits which are closely associated with…
• Universal Fine-grained Visual Categorization by Concept Guided Learning
  6 Jan 2025 1 repository listed
  The discriminative concepts is utilized to guide the fine-grained representation learning.
• EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles
  23 Jul 2024 1 repository listed
  A major challenge in SFDA is deriving accurate categorical information for the target domain, especially when sample embeddings from different classes appear similar.
• Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
  10 Jul 2024 1 repository listed
  FungiCLEF 2024 addresses the fine-grained visual categorization (FGVC) of fungi species, with a focus on identifying poisonous species.
• Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
  10 May 2024 1 repository listed Syntology ran 12 of 13 samples · 1 unverified · 13 pointer-only (licence)
  To tackle this problem, we devise a Region-Aligned Proxy Learning (RAPL) framework, which comprises a Channel-wise Region Alignment (CRA) module and a Semi-Supervised Proxy Learning (SemiPL) strategy.
• Data-free Knowledge Distillation for Fine-grained Visual Categorization
  18 Apr 2024 1 repository listed
  Our approach utilizes an adversarial distillation framework with attention generator, mixed high-order attention distillation, and semantic feature contrast learning.
• Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
  8 Jun 2023 1 repository listed
  Fine-grained visual categorization (FGVC) is a challenging task due to similar visual appearances between various species.
• Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method
  4 Jun 2023 1 repository listed
  In the existing FGVC datasets used in computer vision, it is generally assumed that each collected instance has fixed characteristics and the distribution of different categories is relatively balanced.
• SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
  31 Aug 2022 1 repository listed
  To address the above limitations, we propose the Structure Information Modeling Transformer (SIM-Trans) to incorporate object structure information into transformer for enhancing discriminative representation learning…
• Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
  21 Jul 2022 1 repository listed
  We thoroughly benchmark audiovisual classification performance and modality fusion experiments through the use of state-of-the-art transformer methods.
• ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
  17 Jul 2022 1 repository listed
  How- ever, the complexity of the model makes it difficult to interpret the decision-making process, and the ambiguity of the attention maps can cause incorrect correlations between image patches.
• On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
  26 May 2022 1 repository listed Syntology ran 3 of 17 samples · 14 unverified
  Inspired by this observation, we propose a network branch dedicated to magnifying the importance of small eigenvalues.
• High-Order-Interaction for weakly supervised Fine-Grained Visual Categorization
  13 Nov 2021 1 repository listed
  Of those, methods based on bilinear pooling are one of the main categories for computing the interaction between deep features and have shown high effectiveness.
• Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
  19 Aug 2021 1 repository listed Syntology ran 8 of 11 samples · 3 unverified
  Unlike most existing methods that learn visual attention based on conventional likelihood, we propose to learn the attention with counterfactual causality, which provides a tool to measure the attention quality and a…
• Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
  6 Jul 2021 1 repository listed
  We verify the effectiveness of FFVT on three benchmarks where FFVT achieves the state-of-the-art performance.
• Self-Supervised Learning for Fine-Grained Visual Categorization
  18 May 2021 1 repository listed
  The deconstruction learning forces the model to focus on local object parts, while reconstruction learning helps in learning the correlation between the parts.
• Benchmarking Representation Learning for Natural World Image Collections
  30 Mar 2021 1 repository listed Syntology ran 0 of 12 samples · 12 unverified
  In order to facilitate progress in this area we present two new natural world visual classification datasets, iNat2021 and NeWT.
• Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance
  1 Jan 2021 1 repository listed
  The proposed UFG image dataset and evaluation protocols is intended to serve as a benchmark platform that can advance research of visual classification from approaching human performance to beyond human ability, via…
• ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
  28 May 2020 1 repository listed
  Identifying prescription medications is a frequent task for patients and medical professionals; however, this is an error-prone task as many pills have similar appearances (e.
• FoodX-251: A Dataset for Fine-grained Food Classification
  14 Jul 2019 1 repository listed
  Food classification is a challenging problem due to the large number of categories, high visual similarity between different foods, as well as the lack of datasets for training state-of-the-art deep models.
• FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
  27 Nov 2018 1 repository listed
  We propose FineGAN, a novel unsupervised GAN framework, which disentangles the background, object shape, and object appearance to hierarchically generate images of fine-grained object categories.
• Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
  16 Jun 2018 1 repository listed
  We propose a measure to estimate domain similarity via Earth Mover's Distance and demonstrate that transfer learning benefits from pre-training on a source domain that is similar to the target domain by this measure.

Syntology lines on 5 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.