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Weighted-Majority-Vote-Object-Recognition
Weighted-Majority-Vote-Object-Recognition PublicForked from 0AndyXia0/Weighted-Majority-Vote-Object-Recognition
This project uses machine learning algorithms in matlab to predict image object categories on the Caltech 101 dataset.
MATLAB
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pointnet
pointnet PublicForked from charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Python
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Attention-multilayer-feature-fusion-network-for-3D-object-detection
Attention-multilayer-feature-fusion-network-for-3D-object-detection PublicF_(att_Fuse_out)=F_(Fuse_out)⊗σ(MLP(F_(Fuse_out))) F_(att_Fuse_out_max)=F_(Fuse_out_max)⊗σ(MLP(F_(Fuse_out_max))) F_(att_Fuse_out_avg)=F_(Fuse_out_max_avg)⊗σ(MLP(F_(Fuse_out_max_avg))) F_Fuse=F_(…
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High-order-Multilayer-Attention-Fusion-Network-for-3D-Object-Detection
High-order-Multilayer-Attention-Fusion-Network-for-3D-Object-Detection Public三维目标检测中,2D影像与三维点云融合是研究热点,但传感器数据差异影响性能。我们提出HMAF网,用高阶特征融合模块和注意力机制等,在KITTI数据集实验效果良好,与其他方法比性能稳定,还通过基准测试验证其有效性等。
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