:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Maroun, Gaby, Bekhouche, Salah Eddine, Dornaika, Fadi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	https://arxiv.org/abs/2511.00123
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging
di: Bekhouche, Salah Eddine, et al.
Pubblicazione: (2025)

InceptionNeXt: When Inception Meets ConvNeXt
di: Yu, Weihao, et al.
Pubblicazione: (2023)

Reviving ConvNeXt for Efficient Convolutional Diffusion Models
di: Kwon, Taesung, et al.
Pubblicazione: (2026)

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
di: Boudouri, Yassine El, et al.
Pubblicazione: (2025)

E-ConvNeXt: A Lightweight and Efficient ConvNeXt Variant with Cross-Stage Partial Connections
di: Wang, Fang, et al.
Pubblicazione: (2025)

EVCC: Enhanced Vision Transformer-ConvNeXt-CoAtNet Fusion for Classification
di: Hasan, Kazi Reyazul, et al.
Pubblicazione: (2025)

Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models
di: Nasios, Ioannis
Pubblicazione: (2025)

A Novel Multi-branch ConvNeXt Architecture for Identifying Subtle Pathological Features in CT Scans
di: Perera, Irash, et al.
Pubblicazione: (2025)

An Efficient Medical Image Classification Method Based on a Lightweight Improved ConvNeXt-Tiny Architecture
di: Xia, Jingsong, et al.
Pubblicazione: (2025)

VLM-PAR: A Vision Language Model for Pedestrian Attribute Recognition
di: Sellam, Abdellah Zakaria, et al.
Pubblicazione: (2025)

Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
di: Garza-Abdala, Jorge Alberto, et al.
Pubblicazione: (2026)

Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt
di: Zhou, Han, et al.
Pubblicazione: (2023)

GANeXt: A Fully ConvNeXt-Enhanced Generative Adversarial Network for MRI- and CBCT-to-CT Synthesis
di: Mei, Siyuan, et al.
Pubblicazione: (2025)

ConvNeXt with Histopathology-Specific Augmentations for Mitotic Figure Classification
di: Feki, Hana, et al.
Pubblicazione: (2025)

MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
di: Roy, Saikat, et al.
Pubblicazione: (2025)

Slimmable ConvNeXt: Width-Adaptive Inference for Efficient Multi-Device Deployment
di: Haberer, Janek, et al.
Pubblicazione: (2026)

A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
di: Bi, Jingjun, et al.
Pubblicazione: (2025)

SCS-SupCon: Sigmoid-based Common and Style Supervised Contrastive Learning with Adaptive Decision Boundaries
di: Wang, Bin, et al.
Pubblicazione: (2025)

Deep Learning-Based Rock Particulate Classification Using Attention-Enhanced ConvNeXt
di: Amankwah, Anthony, et al.
Pubblicazione: (2025)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
di: Roy, Saikat, et al.
Pubblicazione: (2023)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
di: Xiao, Huaiyuan, et al.
Pubblicazione: (2025)

A Hybrid ConvNeXt-EfficientNet AI Solution for Precise Falcon Disease Detection
di: Panthakkan, Alavikunhu, et al.
Pubblicazione: (2025)

HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation
di: Sun, Danyang, et al.
Pubblicazione: (2025)

MCFCN: Multi-View Clustering via a Fusion-Consensus Graph Convolutional Network
di: Pei, Chenping, et al.
Pubblicazione: (2025)

Deep Learning for Oral Health: Benchmarking ViT, DeiT, BEiT, ConvNeXt, and Swin Transformer
di: George, Ajo Babu, et al.
Pubblicazione: (2025)

LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging
di: Zidi, Fadi Abdeladhim, et al.
Pubblicazione: (2025)

Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
di: Ramos, Leo Thomas, et al.
Pubblicazione: (2026)

Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based Aggregation
di: Yamagishi, Yosuke, et al.
Pubblicazione: (2024)

A supervised discriminant data representation: application to pattern classification
di: Dornaika, Fadi, et al.
Pubblicazione: (2025)

AI-Driven Solutions for Falcon Disease Classification: Concatenated ConvNeXt cum EfficientNet AI Model Approach
di: Panthakkan, Alavikunhu, et al.
Pubblicazione: (2025)

Automated Classification of Normal and Atypical Mitotic Figures Using ConvNeXt V2: MIDOG 2025 Track 2
di: Yamagishi, Yosuke, et al.
Pubblicazione: (2025)

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification
di: Yurdakul, Mustafa, et al.
Pubblicazione: (2025)

VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image Classification
di: Sellam, Abdellah Zakaria, et al.
Pubblicazione: (2026)

Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognition
di: Bekhouche, Salah Eddine, et al.
Pubblicazione: (2026)

UltraUPConvNet: A UPerNet- and ConvNeXt-Based Multi-Task Network for Ultrasound Tissue Segmentation and Disease Prediction
di: Chen, Zhi, et al.
Pubblicazione: (2025)

Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
di: Slika, Bouthaina, et al.
Pubblicazione: (2023)

Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition
di: Dornaika, Fadi, et al.
Pubblicazione: (2025)

Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification
di: Sellam, Abdellah Zakaria, et al.
Pubblicazione: (2025)

iFormer: Integrating ConvNet and Transformer for Mobile Application
di: Zheng, Chuanyang
Pubblicazione: (2025)

Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans
di: Bougourzi, Fares, et al.
Pubblicazione: (2024)