ultra-perception Goto Github PK
Type: Organization
Type: Organization
Official code for BEVDepth.
[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.
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
[CVPR2024] BEVSee
End-to-End Object Detection with Transformers
This the project folder for the paper `Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions'
PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"
The PyTorch Implementation of F-ConvNet for 3D Object Detection
Frustum PointNets for 3D Object Detection from RGB-D Data
HATS: Histograms of Averaged Time Surfaces
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
[AAAI24]This is the implementation for the paper M-BEV: Masked BEV Perception for Robust Autonomous Driving
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
Fast Event-based Corner Detection
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
Squeeze-and-Excitation Networks
PyTorch implementation of SENet
A Simple Baseline for BEV Perception
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Transformer: PyTorch Implementation of "Attention Is All You Need"
A TensorFlow Implementation of the Transformer: Attention Is All You Need
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving
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