Imagen de Portada

DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rodas, Bryan, Montesino, Natalie, Ambsdorf, Jakob, Klindt, David, Balestriero, Randall
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Machine Learning I.2; I.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound
por: Ambsdorf, Jakob, et al.
Publicado: (2025)

Self-Supervised Polyp Re-Identification in Colonoscopy
por: Intrator, Yotam, et al.
Publicado: (2023)

AOI-SSL: Self-Supervised Framework for Efficient Segmentation of Wire-bonded Semiconductors In Optical Inspection
por: Figueira, Joaquín, et al.
Publicado: (2026)

Domain-Specific Self-Supervised Pre-training for Agricultural Disease Classification: A Hierarchical Vision Transformer Study
por: Sonavane, Arnav S.
Publicado: (2026)

Dense Self-Supervised Learning for Medical Image Segmentation
por: Seince, Maxime, et al.
Publicado: (2024)

DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer
por: Kumar, Sonal, et al.
Publicado: (2024)

Lightweight Complementary-Cue Fusion for Robust Video Face Forgery Detection
por: Baek, Sunghwan, et al.
Publicado: (2026)

Label Delay in Online Continual Learning
por: Csaba, Botos, et al.
Publicado: (2023)

Supervised Embedded Methods for Hyperspectral Band Selection
por: Zimmer, Yaniv, et al.
Publicado: (2024)

Fusion and Grouping Strategies in Deep Learning for Local Climate Zone Classification of Multimodal Remote Sensing Data
por: Thomas, Ancymol, et al.
Publicado: (2026)

ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning
por: Meegan, Nicholas, et al.
Publicado: (2022)

Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights
por: Hao, Yan, et al.
Publicado: (2024)

AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
por: Lis, Krzysztof, et al.
Publicado: (2022)

Data-Efficient Realized Volatility Forecasting with Vision Transformers
por: Soroka, Emi, et al.
Publicado: (2025)

Domain-Adaptive Pretraining Improves Primate Behavior Recognition
por: Mueller, Felix B., et al.
Publicado: (2025)

DCT-HistoTransformer: Efficient Lightweight Vision Transformer with DCT Integration for histopathological image analysis
por: Ranjbar, Mahtab, et al.
Publicado: (2024)

Semi-Supervised Segmentation via Embedding Matching
por: Xie, Weiyi, et al.
Publicado: (2024)

Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
por: He, Shihuan, et al.
Publicado: (2025)

Decoupled Sensitivity-Consistency Learning for Weakly Supervised Video Anomaly Detection
por: Zheng, Hantao, et al.
Publicado: (2026)

EDSNet: Efficient-DSNet for Video Summarization
por: Prasad, Ashish, et al.
Publicado: (2024)

Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to improve performance of ANN Classifier for extracting Built-Up pixels from Landsat Satellite Imagery
por: Mukherjee, Amritendu, et al.
Publicado: (2025)

A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition
por: Vidal, Pedro, et al.
Publicado: (2025)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
por: Wagner, Felix, et al.
Publicado: (2024)

A Hierarchical Self-Consistent Regularization Approach to Satellite Image Time Series Classification
por: Weikmann, Giulio, et al.
Publicado: (2025)

Towards Onboard Continuous Change Detection for Floods
por: Kyselica, Daniel, et al.
Publicado: (2026)

Disentangling Generation and Regression in Stochastic Interpolants for Controllable Image Restoration
por: Liu, Yi, et al.
Publicado: (2026)

DINOSTAR: Deep Iterative Neural Object Detector Self-Supervised Training for Roadside LiDAR Applications
por: Shahbaz, Muhammad, et al.
Publicado: (2025)

Uncertainty Quantification in Continual Open-World Learning
por: Rios, Amanda S., et al.
Publicado: (2024)

SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction
por: Shang, Wei, et al.
Publicado: (2024)

CNN-LSTM Hybrid Architecture for Over-the-Air Automatic Modulation Classification Using SDR
por: Padhya, Dinanath, et al.
Publicado: (2025)

Attention-Aware Transformer-Based Aggregation Network for Video Periocular Recognition
por: Carreira, Luiz G F, et al.
Publicado: (2026)

A Resource-Efficient Hybrid CNN-LSTM network for image-based bean leaf disease classification
por: Rhee, Hye Jin, et al.
Publicado: (2026)

Lightweight Prompt-Guided CLIP Adaptation for Monocular Depth Estimation
por: Manghotay, Reyhaneh Ahani, et al.
Publicado: (2026)

Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers
por: Rios, Edwin Arkel, et al.
Publicado: (2024)

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
por: Fabian, Zalan, et al.
Publicado: (2023)

Scalable Geospatial Data Generation Using AlphaEarth Foundations Model
por: Houriez, Luc, et al.
Publicado: (2025)

A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
por: Shvetsov, Nikita, et al.
Publicado: (2025)

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
por: Ciranni, Massimiliano, et al.
Publicado: (2025)

LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation
por: Zwick, Pascal, et al.
Publicado: (2025)

Looking at Model Debiasing through the Lens of Anomaly Detection
por: Pastore, Vito Paolo, et al.
Publicado: (2024)