Results 11 to 20 of about 31,762 (259)
Weakly-Supervised Crack Detection
IEEE Transactions on Intelligent Transportation Systems, 2023 Submitted to IEEE Transactions on Intelligent Transportation ...
Yuki Inoue, Hiroto Nagayoshi
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Weakly-Supervised Online Hashing [PDF]
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021 Accepted by ICME ...
Yu-Wei Zhan +5 more
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Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
Scientific Reports, 2021 Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without ...
Jaeil Kim +9 more
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Weakly Supervised Correspondence Learning
2022 International Conference on Robotics and Automation (ICRA), 2022 Correspondence learning is a fundamental problem in robotics, which aims to learn a mapping between state, action pairs of agents of different dynamics or embodiments. However, current correspondence learning methods either leverage strictly paired data -- which are often difficult to collect -- or learn in an unsupervised fashion from unpaired data ...
Zihan Wang +3 more
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Weakly supervised salient object detection via double object proposals guidance
IET Image Processing, 2021 The weakly supervised methods for salient object detection are attractive, since they greatly release the burden of annotating time‐consuming pixel‐wise masks.
Zhiheng Zhou +4 more
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International Journal of Applied Earth Observations and Geoinformation, 2022 Semantic segmentation of large-scale mobile laser scanning (MLS) point clouds is essential for urban scene understanding. However, most of the existing semantic segmentation methods require a large quantity of labeled data, which are labor-intensive and ...
Xiangda Lei +7 more
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Weakly Supervised Action Detection [PDF]
Procedings of the British Machine Vision Conference 2011, 2011 The detection of human action in videos of busy natural scenes with dynamic background is of interest for applications such as video surveillance. Taking a conventional fully supervised approach, the spatio-temporal locations of the action of interest have to be manually annotated frame by frame in the training videos, which is tedious and unreliable ...
Parthipan Siva, Tao Xiang 0002
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Weakly Supervised Keypoint Discovery
CoRR, 2021 In this paper, we propose a method for keypoint discovery from a 2D image using image-level supervision. Recent works on unsupervised keypoint discovery reliably discover keypoints of aligned instances. However, when the target instances have high viewpoint or appearance variation, the discovered keypoints do not match the semantic correspondences over
Ryou, Serim, Perona, Pietro
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Sensors, 2022 The total boll count from a plant is one of the most important phenotypic traits for cotton breeding and is also an important factor for growers to estimate the final yield.
Shrinidhi Adke +3 more
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Weakly Supervised Label Smoothing [PDF]
, 2021 We study Label Smoothing (LS), a widely used regularization technique, in the context of neural learning to rank (L2R) models. LS combines the ground-truth labels with a uniform distribution, encouraging the model to be less confident in its predictions.
Gustavo Penha, Claudia Hauff
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