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Mar 23, 2024 · In this paper, we propose novel gradient optimization for object detection in LNL. Our aim is to adopt different gradient updating rules for all ...
In this paper, we propose a method that applies gradient optimization for object detection (GOOD), aiming to combat poor generalization caused by noisy labels ...
Apr 30, 2024 · In this paper, we propose a method that applies gradient optimization for object detection (GOOD), aiming to combat poor generalization caused ...
Gradient optimization for object detection in learning with noisy labels ; Journal: Applied Intelligence, 2024, № 5, p. 4248-4259 ; Publisher: Springer Science ...
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent. [Paper] ... Learning From Noisy Anchors for One-Stage Object Detection.
In the presence of noisy labels, designing robust loss functions is critical for securing the gener- alization performance of deep neural networks.
... method that applies gradient optimization for object detection (GOOD), aim. ... Gradient optimization for object detection in learning with noisy labels
A curated list of resources for Learning with Noisy Labels - subeeshvasu/Awesome-Learning-with-Label-Noise.
Dec 11, 2023 · This work builds on confident learning (CL) [9, 10] , one of the state-of-the-art techniques for detecting noisy labels in classification tasks.
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