[ICCV 2023 & TPAMI 2026] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
Detect 3D objects in videos from multiple cameras using a specific machine learning model.
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SparseBEV has 468 stars on GitHub. It has been forked 46 times. SparseBEV is written mainly in Python. It has been in active development since 2023. SparseBEV is available under the MIT license. Its main topics are 3d-object-detection, autonomous-driving, bev-perception, transformer.
[ICCV 2023 & TPAMI 2026] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
SparseBEV is an open-source project. It is released under the MIT license.
Yes. SparseBEV is free and open source — you can use, modify and self-host it.
SparseBEV is available under the MIT license.
SparseBEV is written mainly in Python.
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