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Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
awesome-bev-perception-multi-cameras's Introduction
Awesome BEV Perception from Multi-Cameras
LSS: Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D [paper ] [Github ]
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries [paper ] [Github ]
CaDDN:Categorical Depth Distribution Network for Monocular 3D Object Detection [paper ] [Github ]
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras [paper ] [Github ]
CVT: Cross-view Transformers for real-time Map-view Semantic Segmentation [paper ] [Github ]
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection [paper ]
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers [paper ] [Github ]
PETR: Position Embedding Transformation for Multi-View 3D Object Detection [paper ][Github ]
SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention[paper ] [Github ]
BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View [paper ] [Github ]
BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection [paper ]
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images [paper ][Github ]
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation [paper ]
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving [paper ] [Github ]
PolarDETR: Polar Parametrization for Vision-based Surround-View 3D Detection[paper ] [Github ]
(CoRL 2022) LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation [paper ] [Github ]
(AAAI 2023) PolarFormer: Multi-camera 3D Object Detection with Polar Transformers[paper ] [Github ]
(ICRA 2023) CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection[paper ] [Github ]
(AAAI 2023) BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection [paper ][Github ]
A Simple Baseline for BEV Perception Without LiDAR [paper ] [Github ]
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision [paper ]
AeDet: Azimuth-invariant Multi-view 3D Object Detection [paper ] [Github
(WACV 2023) BEVSegFormer: Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs [paper ]
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection [paper ][Github ]
VideoBEV: Exploring Recurrent Long-term Temporal Fusion for Multi-view 3D Perception [paper ]
HoP: Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction [paper ]
StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection [paper ][Github ]
SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos [paper ][Github ]
(AAAI 2023) BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo [paper ] [Github ]
STS: Surround-view Temporal Stereo for Multi-view 3D Detection [paper ]
End to End BEV Perception
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning [paper ][Github ]
UniAD: Planning-oriented Autonomous Driving [paper ][Github ]
(ICLR 2023) BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection [paper ] [Github ]
TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning [paper ][Github ]
RoboBEV: Towards Robust Bird's Eye View Detection under Corruptions
[paper ] [Github ]
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline [paper ] [Github ]
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception [paper ][Github ]
(ICRA 2022) HDMapNet: An Online HD Map Construction and Evaluation Framework [paper ] [Github ]
(ICLR 2023) MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction [paper ] [Github ]
FUTR3D: A Unified Sensor Fusion Framework for 3D Detection [paper ] [Github ]
(NeurIPS 2022) BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework [paper ] [Github ]
(NeurIPS 2022) Unifying Voxel-based Representation with Transformer for 3D Object Detection [paper ] [Github ]
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation [paper ] [Github ]
CMT: Cross Modal Transformer via Coordinates Encoding for 3D Object Dectection [paper ] [Github ]
BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation [paper ]
Vision-Centric BEV Perception: A Survey [paper ] [Github ]
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe [paper ][Github ]
TPVFormer: An academic alternative to Tesla's Occupancy Network [Github ]
UniWorld: Autonomous Driving Pre-training via World Models [paper ][github ]
Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction [paper ][Github ]
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders [paper ][Github ]
Focal Sparse Convolutional Networks for 3D Object Detection [paper ] [Github ]
Voxel Field Fusion for 3D Object Detection [paper ] [Github ]
Scaling up Kernels in 3D CNNs [paper ] [Github ]
awesome-bev-perception-multi-cameras's People
awesome-bev-perception-multi-cameras's Issues
Hi! I am the first author of CrossDTR. It is my pleasure to present my paper in ICRA 2023.
Hi chaytonmin!
I'd like to contribute to your awesome repository but I'm not allowed to create a new branch and a pull request from it. Could you tell me how can I add new lines to the README.md? Thank you.
BEV Segmentation:
BEV Detection/Cross sensor KD:
Hello, thanks for your great efforts of collecting papers for reference. Our paper SparseBEV[arXiv] [github] has recently been accepted to ICCV 2023. Please include our paper in your list.
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