Dynamic Correlation Learning and Regularization for Multi-Label
Confidence Calibration

Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration

9 July 2024

Liang Lin

Papers citing "Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration"

8 / 8 papers shown

Title
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators Shenghai Yuan Jinfa Huang Yujun Shi Yongqi Xu Ruijie Zhu Bin Lin Xinhua Cheng Li-xin Yuan Jiebo Luo VGen 107 35 0 07 Apr 2024
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels Tianshui Chen Tao Pu Hefeng Wu Yuan Xie Liang Lin 45 59 0 21 Dec 2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 50 67 0 30 Nov 2021
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition Jin Ye Junjun He Xiaojiang Peng Wenhao Wu Yu Qiao 20 187 0 05 Dec 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 69 454 0 21 Feb 2020
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 117 1,931 0 06 Jun 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 48 996 0 07 Apr 2019
Posterior calibration and exploratory analysis for natural language processing models Khanh Nguyen Brendan O'Connor 77 137 0 21 Aug 2015