2019年3月9日 · In this paper, we employ weak mask representation for CNN in box-level tracking with only initial rough object rectangle given. We overcome the data deficiency challenge and …

2023年1月1日 · An online pseudo-mask correcting scheme is designed for weakly-supervised semantic segmentation (WSSS). Introducing robust loss functions and regularization …

2024年11月26日 · This paper studies various weak losses for partially annotated data in combination with existing supervised losses. We propose Box-for-Mask and Mask-for-Box …

2025年1月1日 · Thus, learning from imperfect annotations (e.g. noisy or weak annotations) has emerged as a prominent research area in medical image segmentation. This work aims to …

As a result, the output of CNN in our method, compared with that in classical semantic segmentation, is much more imprecise, thus we regard it as “weak mask”. To ensure …

2023年10月4日 · Weakly supervised semantic segmentation (WSSS) can obtain pseudo-semantic masks through a weaker level of supervised labels, reducing the need for costly pixel-level …

2019年8月1日 · To address the limitation, we propose to take a binary mask as the output of CNN for tracking. To this end, we adapt a semantic segmentation model by online fine-tuning with …

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2023年6月1日 · In order to solve this problem, we suggest a network based on spatial sub-region feature extraction and mask-aware loss that can detect metal surface defects.

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2020年4月21日 · Even very weak masks (20% effective) can still be useful if the underlying transmission rate is relatively low or decreasing: In Washington, where baseline transmission …

2019年3月9日 · To address the limitation, we propose to take a binary mask as the output of CNN for tracking. To this end, we adapt a semantic segmentation model by online fine-tuning with …

Exploiting Weak Mask Representation with Convolutional Neural Networks for Accurate Object Tracking. Recent years have witnessed the popularity of Convolutional Neural Networks …

To address the limitation, we propose to take a binary mask as the output of CNN for tracking. To this end, we adapt a semantic segmentation model by online fine-tuning with augmented …

2019年8月1日 · To address the limitation, we propose to take a binary mask as the output of CNN for tracking. To this end, we adapt a semantic segmentation model by online fine-tuning with …

Even very weak masks (20% effective) can still be useful if the underlying transmission rate is relatively low or decreasing: In Washington, where baseline transmission is much less intense, …