Saved in:
| Main Authors: | Zuo, Zheming, Smith, Joseph, Stonehouse, Jonathan, Obara, Boguslaw |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.05853 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification
by: Smith, Joseph, et al.
Published: (2024)
by: Smith, Joseph, et al.
Published: (2024)
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
by: Zuo, Zheming, et al.
Published: (2024)
by: Zuo, Zheming, et al.
Published: (2024)
Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification
by: Gao, Pengxiang, et al.
Published: (2025)
by: Gao, Pengxiang, et al.
Published: (2025)
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
by: Chiu, Christopher, et al.
Published: (2024)
by: Chiu, Christopher, et al.
Published: (2024)
Exploration of Class Center for Fine-Grained Visual Classification
by: Yao, Hang, et al.
Published: (2024)
by: Yao, Hang, et al.
Published: (2024)
Saccadic Vision for Fine-Grained Visual Classification
by: Schmidt, Johann, et al.
Published: (2025)
by: Schmidt, Johann, et al.
Published: (2025)
A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification
by: Lamm, Bianca, et al.
Published: (2025)
by: Lamm, Bianca, et al.
Published: (2025)
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
by: Bougourzi, Fares, et al.
Published: (2024)
by: Bougourzi, Fares, et al.
Published: (2024)
ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
by: Diao, Xingjian, et al.
Published: (2025)
by: Diao, Xingjian, et al.
Published: (2025)
Supervised Contrastive Machine Unlearning of Background Bias in Sonar Image Classification with Fine-Grained Explainable AI
by: S, Kamal Basha, et al.
Published: (2025)
by: S, Kamal Basha, et al.
Published: (2025)
Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification
by: Tam, Jason Kahei, et al.
Published: (2025)
by: Tam, Jason Kahei, et al.
Published: (2025)
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
by: Li, Hao, et al.
Published: (2024)
by: Li, Hao, et al.
Published: (2024)
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation
by: Liao, Qiyu, et al.
Published: (2024)
by: Liao, Qiyu, et al.
Published: (2024)
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions
by: Chang, Jinyi, et al.
Published: (2025)
by: Chang, Jinyi, et al.
Published: (2025)
Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification
by: Wang, Meijia, et al.
Published: (2026)
by: Wang, Meijia, et al.
Published: (2026)
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image Classification
by: Luo, Ning, et al.
Published: (2025)
by: Luo, Ning, et al.
Published: (2025)
Towards Visual Re-Identification of Fish using Fine-Grained Classification for Electronic Monitoring in Fisheries
by: Thilakarathna, Samitha Nuwan, et al.
Published: (2025)
by: Thilakarathna, Samitha Nuwan, et al.
Published: (2025)
Hierarchical Contextual Grounding LVLM: Enhancing Fine-Grained Visual-Language Understanding with Robust Grounding
by: Guo, Leilei, et al.
Published: (2025)
by: Guo, Leilei, et al.
Published: (2025)
Anatomy-Aware Text-Visual Fusion with Dual-Perspective Prompts for Fine-Grained Lumbar Spine Segmentation
by: Lian, Sheng, et al.
Published: (2025)
by: Lian, Sheng, et al.
Published: (2025)
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching
by: Huang, Xiaofei, et al.
Published: (2024)
by: Huang, Xiaofei, et al.
Published: (2024)
FACTS: Fine-Grained Action Classification for Tactical Sports
by: Lai, Christopher, et al.
Published: (2024)
by: Lai, Christopher, et al.
Published: (2024)
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
by: Javidani, Ali, et al.
Published: (2023)
by: Javidani, Ali, et al.
Published: (2023)
ShrimpXNet: A Transfer Learning Framework for Shrimp Disease Classification with Augmented Regularization, Adversarial Training, and Explainable AI
by: Jone, Israk Hasan, et al.
Published: (2025)
by: Jone, Israk Hasan, et al.
Published: (2025)
Integrating Fine-Grained Audio-Visual Evidence for Robust Multimodal Emotion Reasoning
by: Zhao, Zhixian, et al.
Published: (2026)
by: Zhao, Zhixian, et al.
Published: (2026)
A Dual-Branch CNN for Robust Detection of AI-Generated Facial Forgeries
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
by: Jin, Cheng, et al.
Published: (2024)
by: Jin, Cheng, et al.
Published: (2024)
Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach
by: Asif, Muhammad Junaid, et al.
Published: (2025)
by: Asif, Muhammad Junaid, et al.
Published: (2025)
Decoupling Contact for Fine-Grained Motion Style Transfer
by: Tang, Xiangjun, et al.
Published: (2024)
by: Tang, Xiangjun, et al.
Published: (2024)
Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops
by: Darbyshire, Madeleine, et al.
Published: (2024)
by: Darbyshire, Madeleine, et al.
Published: (2024)
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
by: Michaeli, Eyal, et al.
Published: (2024)
by: Michaeli, Eyal, et al.
Published: (2024)
Fine-Grained Scene Image Classification with Modality-Agnostic Adapter
by: Wang, Yiqun, et al.
Published: (2024)
by: Wang, Yiqun, et al.
Published: (2024)
A Fine-Grained Attention and Geometric Correspondence Model for Musculoskeletal Risk Classification in Athletes Using Multimodal Visual and Skeletal Features
by: Rahman, Md. Abdur, et al.
Published: (2025)
by: Rahman, Md. Abdur, et al.
Published: (2025)
Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model
by: Pate, Shripad, et al.
Published: (2025)
by: Pate, Shripad, et al.
Published: (2025)
Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media
by: Nguyen, Thi Huyen, et al.
Published: (2026)
by: Nguyen, Thi Huyen, et al.
Published: (2026)
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
by: Tian, Bowen, et al.
Published: (2024)
by: Tian, Bowen, et al.
Published: (2024)
StrokeNet: Unveiling How to Learn Fine-Grained Interactions in Online Handwritten Stroke Classification
by: Huang, Yiheng, et al.
Published: (2025)
by: Huang, Yiheng, et al.
Published: (2025)
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning
by: Bai, Tianyi, et al.
Published: (2025)
by: Bai, Tianyi, et al.
Published: (2025)
MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification
by: Qiao, Yang, et al.
Published: (2025)
by: Qiao, Yang, et al.
Published: (2025)
Less Is More: An Explainable AI Framework for Lightweight Malaria Classification
by: Kafi, Md Abdullah Al, et al.
Published: (2025)
by: Kafi, Md Abdullah Al, et al.
Published: (2025)
Fine-Grained ImageNet Classification in the Wild
by: Lymperaiou, Maria, et al.
Published: (2023)
by: Lymperaiou, Maria, et al.
Published: (2023)
Similar Items
-
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification
by: Smith, Joseph, et al.
Published: (2024) -
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
by: Zuo, Zheming, et al.
Published: (2024) -
Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification
by: Gao, Pengxiang, et al.
Published: (2025) -
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
by: Chiu, Christopher, et al.
Published: (2024) -
Exploration of Class Center for Fine-Grained Visual Classification
by: Yao, Hang, et al.
Published: (2024)