A curated list of efficient deep learning.
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Updated
Jun 7, 2024
A curated list of efficient deep learning.
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 课程主页:http://111.229.117.200:7001/
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
BEV Representation of an Autonomous car using 6 RGB cameras by making use of Stable Diffusion Transformers
Project: Generating overhead birds-eye-view occupancy grid map with semantic information from lidar and camera data.
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
Tariff builder for ChargePointOperators in the area of employee, tradefairs, hotels or areal parking.
Information about the software of and software updates for the Volkswagen ID. series electric vehicles (BEVs, e.g. VW ID.3, ID.4, etc.)
Changed the LBC algorithm, to support BEV and intreage it with ROS
[NeurIPS 2023] Asynchrony-Robust Collaborative Perception via Bird’s Eye View Flow
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