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Fine-Grained Visual Recognition

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Showing 51–72 of 72 papers

TitleStatusHype
CoCoNet: A Collaborative Convolutional Network—0
XR-VLM: Cross-Relationship Modeling with Multi-part Prompts and Visual Features for Fine-Grained Recognition—0
Navigating limitations with precision: A fine-grained ensemble approach to wrist pathology recognition on a limited x-ray dataset—0
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation—0
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition—0
Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition—0
Parsing Objects at a Finer Granularity: A Survey—0
CA-PMG: Channel attention and progressive multi-granularity training network for fine-grained visual classification—0
Bilinear CNN Models for Fine-Grained Visual Recognition—0
An attention-driven hierarchical multi-scale representation for visual recognition—0
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work—0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
ACE: Adaptive Confusion Energy for Natural World Data Distribution—0
Generalized Category Discovery with Clustering Assignment Consistency—0
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification—0
FiGKD: Fine-Grained Knowledge Distillation via High-Frequency Detail Transfer—0
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification—0
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets—0
Incorporating Intra-Class Variance to Fine-Grained Visual Recognition—0
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs—0
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition—0
Large Scale Visual Food Recognition—0
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