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
Latest papers
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
Our findings elucidate that our proposed methodology establishes a new benchmark for SOTA performance in food recognition on the CNFOOD-241 dataset.
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning
hawkeye-finegrained/hawkeye
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However, the absence of a unified open-source software library covering various paradigms in FGIR poses a significant challenge for researchers and practitioners in the field.
Fine-grained Recognition with Learnable Semantic Data Augmentation
Since images belonging to the same meta-category usually share similar visual appearances, mining discriminative visual cues is the key to distinguishing fine-grained categories.
PaLI-X: On Scaling up a Multilingual Vision and Language Model
kyegomez/PALI
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We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture.
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
Large-scale multi-modal pre-training models such as CLIP and PaLI exhibit strong generalization on various visual domains and tasks.
Taxonomy and evolution predicting using deep learning in images
set-path/multi-input-mushroom-recognition
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Molecular and morphological characters, as important parts of biological taxonomy, are contradictory but need to be integrated.
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.
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.
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.
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.
