Multi-view Harmonized Bilinear Network for 3D Object Recognition - 代码天地

Multi-view Harmonized Bilinear Network for 3D Object Recognition

其他 2019-02-03 14:01:34 阅读次数: 0

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转载自blog.csdn.net/qq_24954345/article/details/81145435

Multi-view Harmonized Bilinear Network for 3D Object Recognition

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Multi-view Convolutional Neural Networks for 3D Shape Recognition

【Paper】MVCNN：Multi-view Convolutional Neural Networks for 3D Shape Recognition

【论文解读】Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning

14.CAPE：Camera View Position Embedding for Multi-View 3D Object Detection笔记

StreamPETR：Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

【论文】Triplet-Center Loss for Multi-View 3D Object

论文阅读：《PETR: Position Embedding Transformation for Multi-View 3D Object Detection》

PETR: Position Embedding Transformation for Multi-View 3D Object Detection

图像检测 - PETR: Position Embedding Transformation for Multi-View 3D Object Detection (ECCV 2022)

BEVSimDet：Simulated Multi-modal Distillation in Bird’s-Eye View for Multi-view 3D Object Detection

Multi-View Gait Recognition Based on A Spatial-Temporal Deep Neural Network论文翻译和理解

DG-BEV：Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View

【DETR用于3D目标检测】DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

【步态识别】多视角3D卷积网络的步态识别算法学习《MULTI-VIEW GAIT RECOGNITION USING 3D CONVOLUTIONAL NEURAL NETWORKS》

BEVDistill：Cross-Modal BEV Distillation for Multi-View 3D Object Detection——论文笔记

Time Will Tell：New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection——论文笔记

【论文笔记】NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

论文精读：《DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries》

论文翻译：《DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries》

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

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【论文笔记】《3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction》

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