
Exploiting weak mask representation with convolutional neural …
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 successfully specialize a semantic model for a given object by online data augmentation.
Weakly-supervised semantic segmentation via online pseudo-mask ...
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 techniques against noisy labels for WSSS. Proposing an EMA teacher network to correct noisy labels in the pseudo-masks for WSSS.
Box for Mask and Mask for Box: weak losses for multi-task …
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 strategies, and their combination BoMBo, to distil necessary information from one task annotations to train the other.
Toward high-quality pseudo masks from noisy or weak …
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 extract high-quality pseudo masks from imperfect annotations with the assistance of …
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 efficiency, a common practice in the object tracking community is to apply a patch based method instead of processing on the whole frame [2, 3, 18].
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A Weakly Supervised Semantic Segmentation Method Based on …
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 annotations.
Exploiting weak mask representation with convolutional neural …
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 augmented samples in the initial frame to uncover the target in the following frames.
KÉRASTASE Resistance Therapiste Hair Mask, Repairing Cream for Weak …
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A sub-region Unet for weak defects segmentation with global …
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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To mask or not to mask: Modeling the potential for face mask …
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 is much less intense, 80% adoption of such masks could reduce mortality by 24-65% (and peak deaths 15-69%), compared to 2-9% mortality reduction in New York (peak death reduction...
Exploiting weak mask representation with convolutional neural …
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 augmented samples in the initial frame to uncover the target in the following frames.
Exploiting Weak Mask Representation with Convolutional Neural …
Exploiting Weak Mask Representation with Convolutional Neural Networks for Accurate Object Tracking. Recent years have witnessed the popularity of Convolutional Neural Networks (CNN) in a variety of computer vision tasks, including video object tracking. Existing object.
Exploiting weak mask representation with convolutional neural …
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 samples in the initial frame to uncover the target in the following frames.
Exploiting weak mask representation with convolutional neural …
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 augmented samples in...
To mask or not to mask: Modeling the potential for face mask …
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, 80% adoption of such masks could reduce mortality by 24–65% (and peak deaths 15–69%), compared to 2–9% mortality reduction in New York (peak death ...
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Herbishh Argan Hair Mask-Deep Conditioning & Hydration For …
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