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Methods/CRF

CRF

Conditional Random Field

GeneralIntroduced 2000468 papers

Description

Conditional Random Fields or CRFs are a type of probabilistic graph model that take neighboring sample context into account for tasks like classification. Prediction is modeled as a graphical model, which implements dependencies between the predictions. Graph choice depends on the application, for example linear chain CRFs are popular in natural language processing, whereas in image-based tasks, the graph would connect to neighboring locations in an image to enforce that they have similar predictions.

Image Credit: Charles Sutton and Andrew McCallum, An Introduction to Conditional Random Fields

Papers Using This Method

Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification2025-06-10Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features2025-05-29DOTA: Deformable Optimized Transformer Architecture for End-to-End Text Recognition with Retrieval-Augmented Generation2025-05-07Logits-Constrained Framework with RoBERTa for Ancient Chinese NER2025-05-05ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagery2025-04-30FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions2025-04-14myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging2025-04-05Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs2025-03-13HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity Recognition2025-03-03Deep learning approaches to surgical video segmentation and object detection: A Scoping Review2025-02-23AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring2025-01-14Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation2025-01-01Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field2024-11-21Regular-pattern-sensitive CRFs for Distant Label Interactions2024-11-19Automated Road Extraction from Satellite Imagery Integrating Dense Depthwise Dilated Separable Spatial Pyramid Pooling with DeepLabV3+2024-10-18Comparative Analysis of Extrinsic Factors for NER in French2024-10-16Squeeze-and-Remember Block2024-10-01Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation2024-08-27Explore Cross-Codec Quality-Rate Convex Hulls Relation for Adaptive Streaming2024-08-16Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study2024-05-09