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Fine-Grained Image Recognition

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Showing 1–50 of 72 papers

TitleStatusHype
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep LearningCode2
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual LearningCode2
A Novel Plug-in Module for Fine-Grained Visual ClassificationCode2
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Making Heads or Tails: Towards Semantically Consistent Visual CounterfactualsCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia EntitiesCode1
Fine-grained Recognition with Learnable Semantic Data AugmentationCode1
How Well Do Self-Supervised Models Transfer?Code1
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual CategorizationCode1
PaLI-X: On Scaling up a Multilingual Vision and Language ModelCode1
Destruction and Construction Learning for Fine-Grained Image RecognitionCode1
Local Patch AutoAugment with Multi-Agent CollaborationCode1
The Curious Layperson: Fine-Grained Image Recognition without Expert LabelsCode1
Neural Prototype Trees for Interpretable Fine-grained Image RecognitionCode1
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning—0
Application of attention-based Siamese composite neural network in medical image recognition—0
Category-specific Semantic Coherency Learning for Fine-grained Image Recognition—0
Compact Approximation for Polynomial of Covariance Feature—0
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition—0
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition—0
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition—0
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets—0
Feature Channel Adaptive Enhancement for Fine-Grained Visual Classification—0
Fine-Grained Image Analysis with Deep Learning: A Survey—0
Fine-grained Image Classification by Exploring Bipartite-Graph Labels—0
Fine-grained Image-to-Image Transformation towards Visual Recognition—0
Full-attention based Neural Architecture Search using Context Auto-regression—0
GCAM: Gaussian and causal-attention model of food fine-grained recognition—0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition—0
Learning Canonical 3D Object Representation for Fine-Grained Recognition—0
Learning Deep Optimal Embeddings with Sinkhorn Divergences—0
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition—0
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition—0
Open-Set Recognition of Novel Species in Biodiversity Monitoring—0
Picking Deep Filter Responses for Fine-Grained Image Recognition—0
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition—0
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing—0
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition—0
Retrieval-Enhanced Contrastive Vision-Text Models—0
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation—0
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset—0
Siamese transformer with hierarchical concept embedding for fine-grained image recognition—0
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition—0
Structural feature enhanced transformer for fine-grained image recognition—0
Text-Embedded Bilinear Model for Fine-Grained Visual Recognition—0
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition—0
Volumetric Transformer Networks—0
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