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[CVPR 24] This is official implication for our paper: ''CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning''.

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CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning

This is official implication for our paper: CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning (Accepted by CVPR 2024)

[Arxiv]

Algorithm overview

image-frame image-pseudo_code

Train Command

#train_command for cifar10 with q=0.5

python mix_main.py --dataset cifar10  --arch wideresnet --batch-size 64 --lr 0.1 \
--seed 5 --out cifar10@q05 --partial_rate 0.5 --epochs 200 --gpu_id 7 --sharpen_T 0.5 --use_mix --lambda_cr 4

#train_command for cifar100 with q=0.1

python mix_main.py --dataset cifar100  --arch wideresnet --batch-size 64 --lr 0.1 \
--seed 5 --out cifar100@q01 --partial_rate 0.10 --epochs 200 --gpu_id 6 --sharpen_T 0.5 --use_mix

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[CVPR 24] This is official implication for our paper: ''CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning''.

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