Cover Image

Fine-Grained ImageNet Classification in the Wild

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lymperaiou, Maria, Thomas, Konstantinos, Stamou, Giorgos
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Counterfactual Edits for Generative Evaluation
by: Lymperaiou, Maria, et al.
Published: (2023)

The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
by: Lymperaiou, Maria, et al.
Published: (2023)

Structure Your Data: Towards Semantic Graph Counterfactuals
by: Dimitriou, Angeliki, et al.
Published: (2024)

V-CECE: Visual Counterfactual Explanations via Conceptual Edits
by: Spanos, Nikolaos, et al.
Published: (2025)

Masked Generative Story Transformer with Character Guidance and Caption Augmentation
by: Papadimitriou, Christos, et al.
Published: (2024)

HalCECE: A Framework for Explainable Hallucination Detection through Conceptual Counterfactuals in Image Captioning
by: Lymperaiou, Maria, et al.
Published: (2025)

U-CECE: A Universal Multi-Resolution Framework for Conceptual Counterfactual Explanations
by: Dimitriou, Angeliki, et al.
Published: (2026)

Automated Classification of Model Errors on ImageNet
by: Peychev, Momchil, et al.
Published: (2023)

ARPA: A Novel Hybrid Model for Advancing Visual Word Disambiguation Using Large Language Models and Transformers
by: Papastavrou, Aristi, et al.
Published: (2024)

Automatic Generation of Fashion Images using Prompting in Generative Machine Learning Models
by: Argyrou, Georgia, et al.
Published: (2024)

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification
by: Dahal, Ashim, et al.
Published: (2025)

Feature-Enhanced TResNet for Fine-Grained Food Image Classification
by: Liu, Lulu, et al.
Published: (2025)

Can Biases in ImageNet Models Explain Generalization?
by: Gavrikov, Paul, et al.
Published: (2024)

Deep Ensemble Art Style Recognition
by: Menis-Mastromichalakis, Orfeas, et al.
Published: (2024)

Prompt2Fashion: An automatically generated fashion dataset
by: Argyrou, Georgia, et al.
Published: (2024)

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
by: Crabbé, Jonathan, et al.
Published: (2023)

Transfer Learning from ImageNet for MEG-Based Decoding of Imagined Speech
by: Jhilal, Soufiane, et al.
Published: (2026)

Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis
by: Matas, Iván, et al.
Published: (2025)

Accessing Vision Foundation Models via ImageNet-1K
by: Zhang, Yitian, et al.
Published: (2024)

Conceptual Contrastive Edits in Textual and Vision-Language Retrieval
by: Lymperaiou, Maria, et al.
Published: (2025)

SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
by: Chaidos, Nikolaos, et al.
Published: (2025)

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
by: Zhang, Chenshuang, et al.
Published: (2024)

Scaling Up Deep Clustering Methods Beyond ImageNet-1K
by: Adaloglou, Nikolas, et al.
Published: (2024)

From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
by: Brändle, Sven, et al.
Published: (2025)

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
by: Paul, Dipanjyoti, et al.
Published: (2023)

Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
by: Yin, Zeyuan, et al.
Published: (2023)

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
by: La Grassa, Riccardo, et al.
Published: (2025)

ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification
by: Janusz, Mikołaj, et al.
Published: (2026)

SASP: Strip-Aware Spatial Perception for Fine-Grained Bird Image Classification
by: Wang, Zheng
Published: (2025)

Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
by: Ozbulak, Utku, et al.
Published: (2025)

ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
by: Burgert, Tom, et al.
Published: (2025)

Saccadic Vision for Fine-Grained Visual Classification
by: Schmidt, Johann, et al.
Published: (2025)

microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification
by: Silva, Sathira, et al.
Published: (2025)

Salient Mask-Guided Vision Transformer for Fine-Grained Classification
by: Demidov, Dmitry, et al.
Published: (2023)

HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
by: Girtsou, Stella, et al.
Published: (2026)

Speedrunning ImageNet Diffusion
by: Bhanded, Swayam
Published: (2025)

FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval
by: Li, Zixu, et al.
Published: (2025)

Language Models as Knowledge Bases for Visual Word Sense Disambiguation
by: Kritharoula, Anastasia, et al.
Published: (2023)

ReefNet: A Large-Scale Dataset and Benchmark for Fine-Grained Coral Reef Recognition
by: Felemban, Abdulwahab, et al.
Published: (2025)

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
by: Lan, Long, et al.
Published: (2024)