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Title: GitHub - cxxpython9/BEVFormer: [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation. · GitHub

Open Graph Title: GitHub - cxxpython9/BEVFormer: [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

X Title: GitHub - cxxpython9/BEVFormer: [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Description: [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation. - cxxpython9/BEVFormer

Open Graph Description: [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation. - cxxpython9/BEVFormer

X Description: [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation. - cxxpython9/BEVFormer

Opengraph URL: https://github.com/cxxpython9/BEVFormer

X: @github

direct link

Domain: github.com

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README.mdhttps://github.com/cxxpython9/BEVFormer/blob/master/README.md
READMEhttps://github.com/cxxpython9/BEVFormer
Licensehttps://github.com/cxxpython9/BEVFormer
https://github.com/cxxpython9/BEVFormer#bevformer-a-cutting-edge-baseline-for-camera-based-detection
Paper in arXivhttp://arxiv.org/abs/2203.17270
Paper in Chinesehttps://drive.google.com/file/d/1dKnD6gUHhBXZ8gT733cIU_A7dHEEzNTP/view?usp=sharing
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BEV Perception Surveyhttps://arxiv.org/abs/2209.05324
Github repohttps://github.com/OpenPerceptionX/BEVPerception-Survey-Recipe
https://github.com/cxxpython9/BEVFormer#news
Waymo Open Datast 3D Camera-Only Detection Challengehttps://waymo.com/open/challenges/2022/3d-camera-only-detection/
Workshophttps://cvpr2022.wad.vision/
nuScenes Detection Taskhttps://nuscenes.org/object-detection?externalData=all&mapData=all&modalities=Camera
https://github.com/cxxpython9/BEVFormer#abstract
https://github.com/cxxpython9/BEVFormer#methods
https://github.com/cxxpython9/BEVFormer/blob/master/figs/arch.png
https://github.com/cxxpython9/BEVFormer#getting-started
Installationhttps://github.com/cxxpython9/BEVFormer/blob/master/docs/install.md
Prepare Datasethttps://github.com/cxxpython9/BEVFormer/blob/master/docs/prepare_dataset.md
Run and Evalhttps://github.com/cxxpython9/BEVFormer/blob/master/docs/getting_started.md
https://github.com/cxxpython9/BEVFormer#model-zoo
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detr3dhttps://github.com/WangYueFt/detr3d
mmdet3dhttps://github.com/open-mmlab/mmdetection3d
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arxiv.org/abs/2203.17270https://arxiv.org/abs/2203.17270
Readme https://github.com/cxxpython9/BEVFormer#readme-ov-file
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