DALocNet: Improving Localization Accuracy for Domain Adaptive Object Detection
Object detection assumes that the training data is identical to the testing data. However, the distributions of training and testing data, in practice, are different, thereby limiting the detection accuracy of objects. To solve this problem, recent works adopt domain adaptation techniques to reduce...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8709699/ |