Transformer encoder-decoderComputer visionFEATURE PYRAMID NETWORKRECOGNITIONNumerous recent object detectors and classifiers have shown acceptable performance in recent years by using convolutional neural networks and other efficient architectures. However, most of them continue to encounter difficulties like ...
Firstly, the REGTR method utilizes the KPConv [28] convolutional backbone to extract features of key points in both source and template point clouds. These features are subsequently fed into multiple Transformer cross-encoder layers to condition the features of key points with context-awareness and ...
Firstly, the REGTR method utilizes the KPConv [28] convolutional backbone to extract features of key points in both source and template point clouds. These features are subsequently fed into multiple Transformer cross-encoder layers to condition the features of key points with context-awareness and ...
Firstly, the REGTR method utilizes the KPConv [28] convolutional backbone to extract features of key points in both source and template point clouds. These features are subsequently fed into multiple Transformer cross-encoder layers to condition the features of key points with context-awareness and ...