Noise Estimation
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Benchmarks
SIDD
Most implemented
Pyramid Real Image Denoising Network
Unprocessing Images for Learned Raw Denoising
Toward Convolutional Blind Denoising of Real Photographs
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Papers
Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets
Dataset distillation (DD) condenses large corpora into compact, information-rich subsets for efficient training and reuse. However, under noisy supervision, DD risks condensing corrupted associations together with useful…
Noise EstimationBEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation
In this paper, we present a framework dubbed \textbf{BEV-Denoise} that estimates and removes intrinsic noise from learned Bird's-Eye-View (BEV) features to achieve accurate BEV semantic segmentation. Inspired by the nois…
Semantic SegmentationNoise EstimationRealistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning
Diffusion MRI enables non-invasive probing of tissue microstructure, but accurate parameter estimation is challenged by noise-related effects. In supervised machine learning frameworks trained on simulated data, discrepa…
Noise EstimationWhere LLM Annotators Fail: Label-Free Learning on Graphs with LLMs
Node classification on graphs often requires labeled nodes, yet obtaining labels at graph scale is expensive. When node attributes contain semantic content, such as paper abstracts, web pages, or product descriptions, la…
Node ClassificationNoise EstimationGraph LearningOutlier-Robust Diffusion Solvers for Inverse Problems
Methods based on diffusion models (DMs) for solving inverse problems (IPs) have recently achieved remarkable performance. However, DM-based methods typically struggle against outliers, which are common in real-world meas…
Noise EstimationBreaking Watermarks in the Frequency Domain: A Modulated Diffusion Attack Framework
Digital image watermarking has advanced rapidly for copyright protection of generative AI, yet the comparatively limited progress in watermark attack techniques has broken the attack-defense balance and hindered further …
Noise Estimation