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Fine-Grained Image Recognition

Papers

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Showing 1–25 of 72 papers

TitleStatusHype
Structural feature enhanced transformer for fine-grained image recognition—0
Open-Set Recognition of Novel Species in Biodiversity Monitoring—0
Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image RecognitionCode0
Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image RecognitionCode0
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude RegularizationCode0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision TransformersCode0
GCAM: Gaussian and causal-attention model of food fine-grained recognition—0
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual LearningCode2
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition—0
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep LearningCode2
Fine-grained Recognition with Learnable Semantic Data AugmentationCode1
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition—0
Retrieval-Enhanced Contrastive Vision-Text Models—0
PaLI-X: On Scaling up a Multilingual Vision and Language ModelCode1
Feature Channel Adaptive Enhancement for Fine-Grained Visual Classification—0
Application of attention-based Siamese composite neural network in medical image recognition—0
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets—0
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia EntitiesCode1
Siamese transformer with hierarchical concept embedding for fine-grained image recognition—0
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition—0
PPL: Pairwise Prototype Learning for Masked Face RecognitionCode0
Learning Deep Optimal Embeddings with Sinkhorn Divergences—0
Taxonomy and evolution predicting using deep learning in imagesCode0
Making Heads or Tails: Towards Semantically Consistent Visual CounterfactualsCode1
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