我爱计算机视觉

@AI52CV

微信公众号【我爱计算机视觉】的官方代码仓库

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    我爱计算机视觉/Point-GNN

    Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020. http://openaccess.thecvf.com/content_CVPR_2020/papers/Shi_Point-GNN_Graph_Neural_Network_for_3D_Object_Detection_in_a_CVPR_2020_paper.pdf 代码原地址:https://github.com/WeijingShi/Point-GNN

    我爱计算机视觉/pseudo-LiDAR_e2e

    End-to-end Pseudo-LiDAR for Image-Based 3D Object Detection https://arxiv.org/abs/2004.03080 代码原地址:https://github.com/mileyan/pseudo-LiDAR_e2e

    我爱计算机视觉/MLCVNet

    MLCVNet: Multi-Level Context VoteNet for 3D Object Detection https://arxiv.org/abs/2004.05679 代码原地址:https://github.com/NUAAXQ/MLCVNet

    我爱计算机视觉/disprcnn

    Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020) 代码原地址:https://github.com/zju3dv/disprcnn

    我爱计算机视觉/sess

    Implementation of " SESS: Self-Ensembling Semi-Supervised 3D Object Detection" (CVPR2020 Oral) 代码原地址:https://github.com/Na-Z/sess

    我爱计算机视觉/D4LCN

    单目3D目标检测pytorch实现 D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection https://arxiv.org/abs/1912.04799 代码原地址:https://github.com/dingmyu/D4LCN

    我爱计算机视觉/DSGN

    3D目标检测 DSGN: Deep Stereo Geometry Network for 3D Object Detection https://arxiv.org/abs/2001.03398 代码原地址:https://github.com/Jia-Research-Lab/DSGN

    我爱计算机视觉/CSA

    目标跟踪鲁棒性研究 Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises https://arxiv.org/abs/2003.09595 代码原地址:https://github.com/MasterBin-IIAU/CSA

    我爱计算机视觉/MPM

    细胞跟踪 MPM: Joint Representation of Motion and Position Map for Cell Tracking https://arxiv.org/abs/2002.10749 代码原地址:https://github.com/JunyaHayashida/MPM

    我爱计算机视觉/P2B

    3D目标跟踪 P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds https://arxiv.org/abs/2005.13888 代码原地址:https://github.com/HaozheQi/P2B

    我爱计算机视觉/LTMU

    CVPR2020 Oral && Best Paper Nomination High-Performance Long-Term Tracking With Meta-Updater 代码原地址:https://github.com/Daikenan/LTMU

    我爱计算机视觉/ROAM

    ROAM: Recurrently Optimizing Tracking Model https://arxiv.org/abs/1907.12006 代码原地址:https://github.com/skyoung/ROAM

    我爱计算机视觉/RLS-RTMDNet

    视觉跟踪 Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking https://openaccess.thecvf.com/content_CVPR_2020/html/Gao_Recursive_Least-Squares_Estimator-Aided_Online_Learning_for_Visual_Tracking_CVPR_2020_paper.html 代码原地址:https://github.com/Amgao/RLS-RTMDNet

    我爱计算机视觉/siamban

    视觉跟踪 Siamese Box Adaptive Network for Visual Tracking https://arxiv.org/abs/2003.06761 代码原地址:https://github.com/hqucv/siamban

    我爱计算机视觉/SiamCAR

    视觉跟踪 SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking https://arxiv.org/abs/1911.07241 代码原地址:https://github.com/ohhhyeahhh/SiamCAR

    我爱计算机视觉/MAST

    自监督跟踪器 MAST: A Memory-Augmented Self-supervised Tracker https://arxiv.org/abs/2002.07793 代码原地址:https://github.com/zlai0/MAST

    我爱计算机视觉/FTMU

    视频目标跟踪与分割 Fast Template Matching and Update for Video Object Tracking and Segmentation https://arxiv.org/abs/2004.07538 代码原地址:https://github.com/insomnia94/FTMU

    我爱计算机视觉/UMA-MOT

    用于在线多目标跟踪 A Unified Object Motion and Affinity Model for Online Multi-Object Tracking https://arxiv.org/pdf/2003.11291.pdf 代码原地址:https://github.com/yinjunbo/UMA-MOT

    我爱计算机视觉/Neural Solver

    多目标跟踪,PyTorch实现 Learning a Neural Solver for Multiple Object Tracking https://arxiv.org/abs/1912.07515 代码原地址:https://github.com/dvl-tum/mot_neural_solver

    我爱计算机视觉/HandMesh

    手部网格恢复 Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration https://arxiv.org/abs/2103.02845 代码原地址:https://github.com/SeanChenxy/HandMesh

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