:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Amangeldi, Aidar, Taigonyrov, Angsar, Jawad, Muhammad Huzaifa, Mbonu, Chinedu Emmanuel
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.08259
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Congenital Heart Disease recognition using Deep Learning/Transformer models
by: Amangeldi, Aidar, et al.
Published: (2025)

Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
by: Abhishek, Kumar, et al.
Published: (2024)

Improving Diagnostic Accuracy of Pigmented Skin Lesions With CNNs: an Application on the DermaMNIST Dataset
by: Kadric, Nerma, et al.
Published: (2025)

An Explorative Analysis of SVM Classifier and ResNet50 Architecture on African Food Classification
by: Mbonu, Chinedu Emmanuel, et al.
Published: (2025)

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

Hybrid CNN-ViT Framework for Motion-Blurred Scene Text Restoration
by: Rashid, Umar, et al.
Published: (2025)

RepViT: Revisiting Mobile CNN From ViT Perspective
by: Wang, Ao, et al.
Published: (2023)

Flaws of ImageNet, Computer Vision's Favourite Dataset
by: Kisel, Nikita, et al.
Published: (2024)

an interpretable vision transformer framework for automated brain tumor classification
by: Mbonu, Chinedu Emmanuel, et al.
Published: (2026)

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets
by: Zhang, Bowei, et al.
Published: (2025)

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

AResNet-ViT: A Hybrid CNN-Transformer Network for Benign and Malignant Breast Nodule Classification in Ultrasound Images
by: Zhao, Xin, et al.
Published: (2024)

DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
by: Marikkar, Umar, et al.
Published: (2026)

Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition
by: Alonso-Fernandez, Fernando, et al.
Published: (2024)

U-REPA: Aligning Diffusion U-Nets to ViTs
by: Tian, Yuchuan, et al.
Published: (2025)

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
by: Zhao, Wangbo, et al.
Published: (2024)

Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
by: Zhang, Weidong, et al.
Published: (2025)

Your ViT is Secretly an Image Segmentation Model
by: Kerssies, Tommie, et al.
Published: (2025)

Modulating CNN Features with Pre-Trained ViT Representations for Open-Vocabulary Object Detection
by: Gao, Xiangyu, et al.
Published: (2025)

Fine-Grained ImageNet Classification in the Wild
by: Lymperaiou, Maria, et al.
Published: (2023)

How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT?
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)

EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval
by: Huzaifa, Muhammad, et al.
Published: (2024)

Tiny-ViT: A Compact Vision Transformer for Efficient and Explainable Potato Leaf Disease Classification
by: Mia, Shakil, et al.
Published: (2026)

Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
by: Lara, Luis, et al.
Published: (2025)

SurgLaVi: Large-Scale Hierarchical Dataset for Surgical Vision-Language Representation Learning
by: Perez, Alejandra, et al.
Published: (2025)

Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
by: Ngo, Ba Hung, et al.
Published: (2024)

A Hybrid Framework Bridging CNN and ViT based on Theory of Evidence for Diabetic Retinopathy Grading
by: Qiu, Junlai, et al.
Published: (2025)

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

Deeper Inside Deep ViT
by: Hong, Sungrae
Published: (2025)

What Makes ImageNet Look Unlike LAION
by: Shirali, Ali, et al.
Published: (2023)

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization
by: Zhong, Yunshan, et al.
Published: (2023)

ImageNot: A contrast with ImageNet preserves model rankings
by: Salaudeen, Olawale, et al.
Published: (2024)

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation
by: Mutlu, Abdulvahap, et al.
Published: (2025)

TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
by: Sharif, Muhammad Hamza, et al.
Published: (2024)

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
by: Wang, Ziyang, et al.
Published: (2022)

CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining
by: Basnet, Prashant Singh, et al.
Published: (2025)

Pretrained ViTs Yield Versatile Representations For Medical Images
by: Matsoukas, Christos, et al.
Published: (2023)

IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
by: Ma, Xiaochen, et al.
Published: (2023)

Let ViT Speak: Generative Language-Image Pre-training
by: Fang, Yan, et al.
Published: (2026)

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