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Style Adaptation for Domain-adaptive Semantic Segmentation
Unsupervised Domain Adaptation (UDA) refers to the method that utilizes annotated source domain data and unlabeled target domain data to train a model capable of generalizing to the target domain data.
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation
Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images.
Keypoint Encoding for Improved Feature Extraction from Compressed Video at Low Bitrates
As a result, the bitrate of the side information related to keypoint encoding is significantly reduced.
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