Nov 24, 2022 · In this paper, we consider the instance segmentation task on a long-tailed dataset, which contains label noise, ie, some of the annotations are incorrect.

This paper proposes a new dataset, which is a large vocabulary long-tailed dataset containing label noise for instance segmentation, and indicates that the ...

Nov 24, 2022 · Specifically, we propose a new dataset, which is a large vocabulary long-tailed dataset containing label noise for instance segmentation.

Jul 15, 2023 · Specifically, we propose a new dataset, which is a large vocabulary long-tailed dataset containing label noise for instance segmentation.

In this paper, we consider the instance segmentation task on a long-tailed dataset, which contains label noise, i.e., some of the annotations are incorrect.

A Benchmark of Long-tailed Instance Segmentation with Noisy Labels (Short Version) · Guanlin LiGuowen XuTianwei Zhang. Computer Science. ArXiv. 2022. TLDR. This ...

This code and dataset is for paper 'A Benchmark of Long-tailed Instance Segmentation with Noisy Labels'[pdf]. We provide all pre-generated noisy annotation ...

This demonstrates that with ample images that can be acquired easily online, even noisy labels without any human efforts could significantly improve long-tailed ...

Jun 16, 2024 · This study sheds light on the quality of segmentation masks produced by various models and challenges the efficacy of popular methods designed ...

Jul 9, 2023 · Large-scale datasets in the real world inevitably involve label noise. Deep models can gradually overfit noisy labels and thus degrade model.