Transformer3D-Det: Improving 3D ObjectDetection by Vote Refinement

Transformer3D-Det: Improving 3D ObjectDetection by Vote Refinement

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Fine-Grained Patch Segmentation and Rasterization for 3D Point Cloud Attribute CompressionПодробнее

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DETR: End-to-End Object Detection with Transformers (Paper Explained)Подробнее

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H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesПодробнее

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Object transformation tool New in 3Dsurvey v2.15!Подробнее

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TokenFormer: Rethinking Transformer Scaling with Tokenized Model ParametersПодробнее

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VOTE3D: FAST GENERIC 3D OBJECT DETECTIONПодробнее

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Tokenformer: Rethinking Transformer Scaling with Tokenized Model ParametersПодробнее

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Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object PosПодробнее

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ECCVW-2020 paper "Self-Attention based Feature Extractors for 3D Object Detection in Point Clouds"Подробнее

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MLCVNet: Multi-Level Context VoteNet for 3D Object DetectionПодробнее

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Relics of the Lost Dawn Dev Update: Equipable Items, Drag-and-Drop Inventory & Player ZoomПодробнее

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