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中科院利用弱监督目标检测中的不稳定性.pdf Weakly supervised object detection (WSOD) focuses on training object detector with only image-level annotations, and is challenging due to the gap bet
清华大学弱监督2019.pdf Weakly supervised object detection(WSOD) task uses only image-level annotations to train object detection task. WSOD does not require time-consuming i
instance aware弱监督目标检测CVPR2020.pdf Weaklysupervisedlearninghasemergedasacompelling tool for object detection by reducing the need for strong supervision during training. However, major
cap2det谷歌结合文字信息进行弱监督检测.pdf cap2det谷歌结合文字信息进行弱监督检测,Cap2Det:Learning to Amplify Weak Caption Supervision for Object Detection: This article exploits whole caption sentences to do
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商汤AAAI2020.pdf Weakly supervised object detection (WSOD) using only image-level annotations has attracted growing attention over the past few years. Existing approac