Closed fawazsammani closed 2 years ago
Hi. Can you please add these CVPR 2022 papers?
SimMatch: Semi-supervised Learning with Similarity Matching https://arxiv.org/pdf/2203.06915.pdf
Propagation Regularizer for Semi-supervised Learning with Extremely Scarce Labeled Samples https://openaccess.thecvf.com/content/CVPR2022/papers/Kim_Propagation_Regularizer_for_Semi-Supervised_Learning_With_Extremely_Scarce_Labeled_Samples_CVPR_2022_paper.pdf
DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning https://openaccess.thecvf.com/content/CVPR2022/papers/Zhao_DC-SSL_Addressing_Mismatched_Class_Distribution_in_Semi-Supervised_Learning_CVPR_2022_paper.pdf
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning https://openaccess.thecvf.com/content/CVPR2022/papers/Tang_Towards_Discovering_the_Effectiveness_of_Moderately_Confident_Samples_for_Semi-Supervised_CVPR_2022_paper.pdf
Sorry for the delayed response @fawazsammani
Done,
Hi. Can you please add these CVPR 2022 papers?
SimMatch: Semi-supervised Learning with Similarity Matching https://arxiv.org/pdf/2203.06915.pdf
Propagation Regularizer for Semi-supervised Learning with Extremely Scarce Labeled Samples https://openaccess.thecvf.com/content/CVPR2022/papers/Kim_Propagation_Regularizer_for_Semi-Supervised_Learning_With_Extremely_Scarce_Labeled_Samples_CVPR_2022_paper.pdf
DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning https://openaccess.thecvf.com/content/CVPR2022/papers/Zhao_DC-SSL_Addressing_Mismatched_Class_Distribution_in_Semi-Supervised_Learning_CVPR_2022_paper.pdf
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning https://openaccess.thecvf.com/content/CVPR2022/papers/Tang_Towards_Discovering_the_Effectiveness_of_Moderately_Confident_Samples_for_Semi-Supervised_CVPR_2022_paper.pdf