From 88e5f3d33df59498feeaa1948462426aabb4d175 Mon Sep 17 00:00:00 2001 From: tangminji <3188960675@qq.com> Date: Tue, 14 May 2024 06:20:26 +0800 Subject: [PATCH] 6.1 udpate README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b673562..d524e71 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Uncertainty-guided Label Correction with Wavelet-transformed Discriminative Representation Enhancement This repository accompanies the research paper, [Uncertainty-guided Label Correction with Wavelet-transformed Discriminative Representation Enhancement](https://www.sciencedirect.com/science/article/abs/pii/S0893608024003071) (accepted at Neural Networks 2024). -Our work and code are adapted from "[Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels](https://ieeexplore.ieee.org/abstract/document/9790332)" (Zhang et al., IEEE Transactions on Pattern Analysis and Machine Intelligence 2022) +Our code is adapted from "[Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels](https://ieeexplore.ieee.org/abstract/document/9790332)" (Zhang et al., IEEE Transactions on Pattern Analysis and Machine Intelligence 2022) ## ULTRA Identifying noise is challenging because noisy samples closely resemble true positives. Existing approaches often assume a single noise source, oversimplify closed-set noise, or treat open-set noise as toxic and eliminate it, resulting in limited practical effects. To address these issues, we present a novel approach named uncertaintyguided label correction with wavelet-transformed discriminative representation enhancement (Ultra),