Coarse Label
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![Coarse Label Fine and coarse label strategy [3,24] | Download Scientific Diagram](https://www.researchgate.net/profile/Youseef-Alotaibi-2/publication/357903890/figure/fig2/AS:1113582632730624@1642510197103/Fine-and-coarse-label-strategy-3-24_Q320.jpg)

















![Coarse Label [2302.00368] Test-Time Amendment with a Coarse Classifier for Fine ...](https://ar5iv.labs.arxiv.org/html/2302.00368/assets/x1.png)













![Coarse Label [논문 리뷰] A deep multiple instance learning approach based on coarse ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/a-deep-multiple-instance-learning-approach-based-on-coarse-labels-for-high-resolution-land-cover-mapping-3.png)



![Coarse Label [论文评述] Emerging Semantic Segmentation from Positive and Negative Coarse ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/emerging-semantic-segmentation-from-positive-and-negative-coarse-label-learning-2.png)


![Coarse Label [2503.03947] COARSE: Collaborative Pseudo-Labeling with Coarse Real ...](https://ar5iv.labs.arxiv.org/html/2503.03947/assets/images/method_complete_compressed.jpg)





















![Coarse Label Four strategies for train the coarse and fine labels. [4]. | Download ...](https://www.researchgate.net/publication/365225921/figure/fig3/AS:11431281096361009@1668123085403/Four-strategies-for-train-the-coarse-and-fine-labels-4.jpg)









![Coarse Label Four strategies for train the coarse and fine labels. [4]. | Download ...](https://www.researchgate.net/publication/365225921/figure/fig3/AS:11431281096361009@1668123085403/Four-strategies-for-train-the-coarse-and-fine-labels-4_Q320.jpg)












![Coarse Label [2303.12756] MaskCon: Masked Contrastive Learning for Coarse-Labelled ...](https://ar5iv.labs.arxiv.org/html/2303.12756/assets/figures/coarse_mapping.jpg)

![Coarse Label [2203.15135] Filler Word Detection and Classification: A Dataset and ...](https://ar5iv.labs.arxiv.org/html/2203.15135/assets/filler_logmel_merged_cm.png)




![Coarse Label [22.07] YOLOv7 | DOCSAID](https://docsaid.org/assets/images/img10-366735b37a9a3ecc2d8efac8f47bf0c8.jpg)



![Coarse Label [2404.17033] Auto-Generating Weak Labels for Real & Synthetic Data to ...](https://ar5iv.labs.arxiv.org/html/2404.17033/assets/wl-examples.png)











![Coarse Label [논문 리뷰] MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset](https://velog.velcdn.com/images/plumlee/post/f67b99d1-3123-4395-bb2c-a3adfd0c735a/image.png)