Add HuggingFace model card metadata.
Browse filesCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
README.md
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# SparseBEV
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[](https://paperswithcode.com/sota/3d-object-detection-on-nuscenes-camera-only?p=sparsebev-high-performance-sparse-3d-object)
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---
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license: mit
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language:
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- en
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tags:
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- 3d-object-detection
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- autonomous-driving
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- multi-camera
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- bev
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- sparse
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- nuscenes
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- pytorch
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- onnx
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datasets:
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- nuscenes
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library_name: mmdet3d
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pipeline_tag: object-detection
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model-index:
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- name: SparseBEV (vit_eva02_1600x640_trainval_future)
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results:
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- task:
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type: object-detection
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name: 3D Object Detection
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dataset:
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type: nuscenes
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name: nuScenes
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split: test
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metrics:
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- type: nds
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value: 70.2
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name: NDS (test)
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- task:
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type: object-detection
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name: 3D Object Detection
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dataset:
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type: nuscenes
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name: nuScenes
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split: validation
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metrics:
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- type: nds
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value: 85.3
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name: NDS (val)
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- name: SparseBEV (vov99_dd3d_1600x640_trainval_future)
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results:
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- task:
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type: object-detection
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name: 3D Object Detection
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dataset:
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type: nuscenes
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name: nuScenes
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split: test
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metrics:
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- type: nds
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value: 67.5
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name: NDS (test)
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- task:
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type: object-detection
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name: 3D Object Detection
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dataset:
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type: nuscenes
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name: nuScenes
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split: validation
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metrics:
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- type: nds
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value: 84.9
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name: NDS (val)
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- name: SparseBEV (r50_nuimg_704x256)
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results:
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- task:
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type: object-detection
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name: 3D Object Detection
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dataset:
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type: nuscenes
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name: nuScenes
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split: validation
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metrics:
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- type: nds
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value: 55.6
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name: NDS (val)
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---
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# SparseBEV
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[](https://paperswithcode.com/sota/3d-object-detection-on-nuscenes-camera-only?p=sparsebev-high-performance-sparse-3d-object)
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