Unsupervised Transformer Pre-Training for Images: Self-Distillation, Mean Teachers, and Random Crops
Fuente:
arXiv
Saved in:
| Main Author: | Scardecchia, Mattia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Image Classification Using a Diffusion Model as a Pre-Training Model
by: Ukita, Kosuke, et al.
Published: (2025)
by: Ukita, Kosuke, et al.
Published: (2025)
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only
by: Möller, Björn, et al.
Published: (2025)
by: Möller, Björn, et al.
Published: (2025)
Cross Domain Early Crop Mapping using CropSTGAN
by: Wang, Yiqun, et al.
Published: (2024)
by: Wang, Yiqun, et al.
Published: (2024)
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
by: Chen, Fuyao, et al.
Published: (2025)
by: Chen, Fuyao, et al.
Published: (2025)
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
by: Meanti, Giacomo, et al.
Published: (2025)
by: Meanti, Giacomo, et al.
Published: (2025)
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
by: Bercea, Cosmin I., et al.
Published: (2024)
by: Bercea, Cosmin I., et al.
Published: (2024)
Preserving Tumor Volumes for Unsupervised Medical Image Registration
by: Dong, Qihua, et al.
Published: (2023)
by: Dong, Qihua, et al.
Published: (2023)
SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts
by: Wasserman, Isaac, et al.
Published: (2023)
by: Wasserman, Isaac, et al.
Published: (2023)
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
by: Fu, Zixuan, et al.
Published: (2024)
by: Fu, Zixuan, et al.
Published: (2024)
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
by: Dong, Yongqi, et al.
Published: (2023)
by: Dong, Yongqi, et al.
Published: (2023)
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
by: Liang, Shijun, et al.
Published: (2025)
by: Liang, Shijun, et al.
Published: (2025)
ViTGAN: Training GANs with Vision Transformers
by: Lee, Kwonjoon, et al.
Published: (2021)
by: Lee, Kwonjoon, et al.
Published: (2021)
The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
by: Eckstein, Katharina, et al.
Published: (2025)
by: Eckstein, Katharina, et al.
Published: (2025)
Deep Self-knowledge Distillation: A hierarchical supervised learning for coronary artery segmentation
by: Lin, Mingfeng
Published: (2025)
by: Lin, Mingfeng
Published: (2025)
A Comparative Study of Transformer and Convolutional Models for Crop Segmentation from Satellite Image Time Series
by: Gatti, Mattia, et al.
Published: (2024)
by: Gatti, Mattia, et al.
Published: (2024)
Deep Representation Learning for Unsupervised Clustering of Myocardial Fiber Trajectories in Cardiac Diffusion Tensor Imaging
by: Anand, Mohini, et al.
Published: (2025)
by: Anand, Mohini, et al.
Published: (2025)
UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation
by: Yang, Runzhao, et al.
Published: (2024)
by: Yang, Runzhao, et al.
Published: (2024)
Randomized Principal Component Analysis for Hyperspectral Image Classification
by: Ustuner, Mustafa
Published: (2024)
by: Ustuner, Mustafa
Published: (2024)
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting
by: Li, Shuo, et al.
Published: (2024)
by: Li, Shuo, et al.
Published: (2024)
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
Key-Graph Transformer for Image Restoration
by: Ren, Bin, et al.
Published: (2024)
by: Ren, Bin, et al.
Published: (2024)
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images
by: Zhang, Yuan, et al.
Published: (2023)
by: Zhang, Yuan, et al.
Published: (2023)
A Contrastive Pre-trained Foundation Model for Deciphering Imaging Noisomics across Modalities
by: Gu, Yuanjie, et al.
Published: (2026)
by: Gu, Yuanjie, et al.
Published: (2026)
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training
by: Chen, Jiamin, et al.
Published: (2024)
by: Chen, Jiamin, et al.
Published: (2024)
GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning
by: Cherukuri, Teja Krishna, et al.
Published: (2024)
by: Cherukuri, Teja Krishna, et al.
Published: (2024)
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
by: Shu, Ziyu, et al.
Published: (2024)
by: Shu, Ziyu, et al.
Published: (2024)
Unsupervised Learning of the Total Variation Flow
by: Grossmann, Tamara G., et al.
Published: (2022)
by: Grossmann, Tamara G., et al.
Published: (2022)
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
by: Ho, Man M., et al.
Published: (2024)
by: Ho, Man M., et al.
Published: (2024)
FARM: Fine-Tuning Geospatial Foundation Models for Intra-Field Crop Yield Regression
by: Nejadshamsi, Shayan, et al.
Published: (2025)
by: Nejadshamsi, Shayan, et al.
Published: (2025)
Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization
by: Doerrich, Sebastian, et al.
Published: (2024)
by: Doerrich, Sebastian, et al.
Published: (2024)
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
by: Li, Shuai, et al.
Published: (2024)
by: Li, Shuai, et al.
Published: (2024)
Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
by: Konz, Nicholas, et al.
Published: (2024)
by: Konz, Nicholas, et al.
Published: (2024)
FQGA-single: Towards Fewer Training Epochs and Fewer Model Parameters for Image-to-Image Translation Tasks
by: Yang, Cho
Published: (2024)
by: Yang, Cho
Published: (2024)
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
by: Vezakis, Ioannis A., et al.
Published: (2024)
by: Vezakis, Ioannis A., et al.
Published: (2024)
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
by: Saad, Muhammad Muneeb, et al.
Published: (2024)
by: Saad, Muhammad Muneeb, et al.
Published: (2024)
Unsupervised Domain Transfer with Conditional Invertible Neural Networks
by: Dreher, Kris K., et al.
Published: (2023)
by: Dreher, Kris K., et al.
Published: (2023)
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations
by: Doerrich, Sebastian, et al.
Published: (2024)
by: Doerrich, Sebastian, et al.
Published: (2024)
Joint Denoising of Cryo-EM Projection Images using Polar Transformers
by: Andén, Joakim, et al.
Published: (2025)
by: Andén, Joakim, et al.
Published: (2025)
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
by: Liu, Zhaoshan, et al.
Published: (2023)
by: Liu, Zhaoshan, et al.
Published: (2023)
Similar Items
-
Image Classification Using a Diffusion Model as a Pre-Training Model
by: Ukita, Kosuke, et al.
Published: (2025) -
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only
by: Möller, Björn, et al.
Published: (2025) -
Cross Domain Early Crop Mapping using CropSTGAN
by: Wang, Yiqun, et al.
Published: (2024) -
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
by: Chen, Fuyao, et al.
Published: (2025) -
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
by: Meanti, Giacomo, et al.
Published: (2025)