Fine-Grained Image Recognition
33 papers with code • 4 benchmarks • 9 datasets
Benchmarks
These leaderboards are used to track progress in Fine-Grained Image Recognition
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Datasets
CUB-200-2011
OmniBenchmark
OVEN
WebFG-496
CUB-GHA
Goldfinch
WikiChurches
CNFOOD-241-Chen
Most implemented papers
How Well Do Self-Supervised Models Transfer?
linusericsson/ssl-transfer
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CVPR 2021
We evaluate the transfer performance of 13 top self-supervised models on 40 downstream tasks, including many-shot and few-shot recognition, object detection, and dense prediction.
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
M-Nauta/ProtoTree
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CVPR 2021
We propose the Neural Prototype Tree (ProtoTree), an intrinsically interpretable deep learning method for fine-grained image recognition.
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset
Interestingly, ViT achieves results superior to CNN baselines with 80. 45% accuracy and 0. 743 macro F1 score, reducing the CNN error by 9% and 12% respectively.
Exploring Localization for Self-supervised Fine-grained Contrastive Learning
Self-supervised contrastive learning has demonstrated great potential in learning visual representations.
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
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 powerful supervisory signal to guide the learning process.
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
willogy-team/hand-gesture-recognition-smc2021
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This paper contributes a new high-quality dataset for hand gesture recognition in hand hygiene systems, named "MFH".
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
subhc/clever
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We then train a fine-grained textual similarity model that matches image descriptions with documents on a sentence-level basis.
High-Order-Interaction for weakly supervised Fine-Grained Visual Categorization
puallee/HOI-Net
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Neurocomputing 2021
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.
A Novel Plug-in Module for Fine-Grained Visual Classification
chou141253/fgvc-pim
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arXiv 2022
Visual classification can be divided into coarse-grained and fine-grained classification.
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals
facebookresearch/visual-counterfactuals
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A visual counterfactual explanation replaces image regions in a query image with regions from a distractor image such that the system's decision on the transformed image changes to the distractor class.
