m_buddy:CSDN认证博客专家
博客地址：https://blog.csdn.net/m_buddy
m_buddy:CSDN认证博客专家
博客地址：https://blog.csdn.net/m_buddy
CFT：Multi-Camera Calibration Free BEV Representation for 3D Object Detection——论文笔记
vanishing point detection in autopilot
Fast-BEV：A Fast and Strong Bird’s-Eye View Perception Baseline——论文笔记
《HR-Depth：High Resolution Self-Supervised Monocular Depth Estimation》论文笔记
《Revisiting Self-Supervised Monocular Depth Estimation》论文笔记
《SegFormer：Simple and Efficient Design for Semantic Segmentation with Transformers》论文笔记
《BEVSegFormer：Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs》论文笔记
《RCLane：Relay Chain Prediction for Lane Detection》论文笔记
《Feature-metric Loss for Self-supervised Learning of Depth and Egomotion》论文笔记
《CREStereo：Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation》论文笔记
SC-DepthV3：Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes——论文笔记
CFT：Multi-Camera Calibration Free BEV Representation for 3D Object Detection——论文笔记
《Self-Supervised Monocular Scene Flow Estimation》论文笔记
《GKT：Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer》
《BEVSegFormer：Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs》论文笔记
《CLRNet：Cross Layer Refinement Network for Lane Detection》论文笔记
《Generalized Focal Loss V2》论文笔记
《PolyLaneNet：Lane Estimation via Deep Polynomial Regression》论文笔记
《CondInst：Conditional Convolutions for Instance Segmentation》论文笔记
《CondLaneNet：a Top-to-down Lane Detection Framework Based on Conditional Convolution》论文笔记
MapTR：Structured Modeling and Learning for Online Vectorized HD Map Construction——论文笔记
BEVDistill：Cross-Modal BEV Distillation for Multi-View 3D Object Detection——论文笔记
MapTR：Structured Modeling and Learning for Online Vectorized HD Map Construction——论文笔记
《PersFormer：3D Lane Detection via Perspective Transformer and the OpenLane Benchmark》论文笔记
《Sparse R-CNN：End-to-End Object Detection with Learnable Proposals》论文笔记
《MonoIndoor：Towards Good Practice of Self-Supervised Monocular Depth Estimation...》论文笔记
MatrixVT：Efficient Multi-Camera to BEV Transformation for 3D Perception——论文笔记
Time Will Tell：New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection——论文笔记
MatrixVT：Efficient Multi-Camera to BEV Transformation for 3D Perception——论文笔记
STS：Surround-view Temporal Stereo for Multi-view 3D Detection——论文笔记
《NeW CRFs：Neural Window Fully-connected CRFs for Monocular Depth Estimation》论文笔记
《Feature-metric Loss for Self-supervised Learning of Depth and Egomotion》论文笔记
《Translating Images into Maps》论文笔记
《A Simple Baseline for BEV Perception Without LiDAR》论文笔记
《Cross-view Transformers for real-time Map-view Semantic Segmentation》论文笔记
《Unsupervised Scale-consistent Depth ...》论文笔记
《LeReS：Learning to Recover 3D Scene Shape from a Single Image》论文笔记
BEVFusion：Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation——论文笔记
《RCLane：Relay Chain Prediction for Lane Detection》论文笔记
《BEV LaneDet：Fast Lane Detection on BEV Ground》论文笔记
《GKT：Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer》
《MonoRec：Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera》
ParticleSfM：Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild——论文笔记
BEVDistill：Cross-Modal BEV Distillation for Multi-View 3D Object Detection——论文笔记
vanishing point detection in autopilot
《PersFormer：3D Lane Detection via Perspective Transformer and the OpenLane Benchmark》论文笔记
《NeW CRFs：Neural Window Fully-connected CRFs for Monocular Depth Estimation》论文笔记
《CamLessMonoDepth：Monocular Depth Estimation with Unknown Camera Parameters》论文笔记
Predict Consistently Depth From Input Video Frames
《PolyLaneNet：Lane Estimation via Deep Polynomial Regression》论文笔记
Frequency-Aware Self-Supervised Monocular Depth Estimation——论文笔记
BEVFusion：Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation——论文笔记
TiG-BEV：Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning——论文笔记
STS：Surround-view Temporal Stereo for Multi-view 3D Detection——论文笔记
Time Will Tell：New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection——论文笔记
《CLRNet：Cross Layer Refinement Network for Lane Detection》论文笔记
《CREStereo：Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation》论文笔记
《Cross-view Transformers for real-time Map-view Semantic Segmentation》论文笔记
《HDMapNet：An Online HD Map Construction and Evaluation Framework》论文笔记