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9 Results

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Poster
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
Shikun Li · Xiaobo Xia · Hansong Zhang · Yibing Zhan · Shiming Ge · Tongliang Liu
Poster
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang · Jianlin Liu · Jinbao Wang · Qiang Nie · Kai WU · Yong Liu · Chengjie Wang · Feng Zheng
Poster
Wed 9:00 On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
Marcus Nordstrom · Henrik Hult · Fredrik Löfman · Jonas Söderberg
Workshop
Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia
Poster
Thu 14:00 On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Vincent Szolnoky · Viktor Andersson · Balazs Kulcsar · Rebecka Jörnsten
Workshop
FedLN: Federated Learning with Label Noise
Vasileios Tsouvalas · Aaqib Saeed · Tanir Özçelebi · Nirvana Meratnia
Poster
Thu 14:00 Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation
Lars Schmarje · Vasco Grossmann · Claudius Zelenka · Sabine Dippel · Rainer Kiko · Mariusz Oszust · Matti Pastell · Jenny Stracke · Anna Valros · Nina Volkmann · Reinhard Koch
Workshop
Learning with noisy labels using low-dimensional model trajectory
Vasu Singla · Shuchin Aeron · Toshiaki Koike-Akino · Kieran Parsons · Matthew Brand · Ye Wang
Poster
MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
REN WANG · Jiayue Wang · Tae Sung Kim · JINSUNG KIM · Hyuk-Jae Lee