Cover Image

InceptionNeXt: When Inception Meets ConvNeXt

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Weihao, Zhou, Pan, Yan, Shuicheng, Wang, Xinchao
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation
by: Maroun, Gaby, et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

TransNeXt: Robust Foveal Visual Perception for Vision Transformers
by: Shi, Dai
Published: (2023)

StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery
by: Ramos, Leo Thomas, et al.
Published: (2026)

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

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

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

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

MetaFormer Baselines for Vision
by: Yu, Weihao, et al.
Published: (2022)

FourCastNeXt: Optimizing FourCastNet Training for Limited Compute
by: Guo, Edison, et al.
Published: (2024)

MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualization
by: Moreh, Fatahlla, et al.
Published: (2024)

MambaOut: Do We Really Need Mamba for Vision?
by: Yu, Weihao, et al.
Published: (2024)

This Looks Better than That: Better Interpretable Models with ProtoPNeXt
by: Willard, Frank, et al.
Published: (2024)

MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection
by: Lei, Xiaochun, et al.
Published: (2025)

LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
by: Tran, Ngoc-Du, et al.
Published: (2024)

MedNet-PVS: A MedNeXt-Based Deep Learning Model for Automated Segmentation of Perivascular Spaces
by: Low, Zhen Xuen Brandon, et al.
Published: (2025)

Healthy Harvests: A Comparative Look at Guava Disease Classification Using InceptionV3
by: Ghosh, Samanta, et al.
Published: (2026)

DragNeXt: Rethinking Drag-Based Image Editing
by: Zhou, Yuan, et al.
Published: (2025)

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

PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF
by: Feng, Yutao, et al.
Published: (2023)

Training Video Foundation Models with NVIDIA NeMo
by: Patel, Zeeshan, et al.
Published: (2025)

ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF
by: Park, Jangho, et al.
Published: (2023)

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
by: Moradi, Nikoo, et al.
Published: (2024)