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Estimating the best line fit of random 3D points and calculating the parameters of that model
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
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[ICRA2023] Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes
A novel dataset for raindrops detection and segmentation
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
A curated list of deep learning image classification papers and codes
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
Python implementation of 'Density Based Spatial Clustering of Applications with Noise'
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
Vision-Centric BEV Perception: A Survey
RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift
[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.
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
A multi-task learning algorithm for autonomous driving tasks
HybridNets: End-to-End Perception Network
YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
A list of multi-task learning papers and projects.
An up-to-date list of works on Multi-Task Learning