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10/13/2022
ImaginaryNet: Learning Object Detectors without Real Images and Annotations
Without the demand of training in reality, humans can easily detect a kn...
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07/25/2022
W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection
Weakly-supervised object detection (WSOD) aims to train an object detect...
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10/15/2021
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
In this work, we perform semantic segmentation of multiple defect types ...
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08/03/2021
