https://github.com/xingjunm/awesome-large-model-safety
공식 코드Safety at Scale: A Comprehensive Survey of Large Model Safety
Papers with Code 아카이브
Autonomous Driving
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 23
Autonomous driving is the task of driving a vehicle without human conduction.
Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.
<span style="color:grey; opacity: 0.5">(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xingp/dgfnet
공식 코드Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
https://github.com/xingyumex/alen
공식 코드ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement
https://github.com/xinliu20/graphcspn_eccv2022
공식 코드https://github.com/xinshuoweng/AB3DMOT
공식 코드3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
https://github.com/xinyuelxy/bias-behind-the-wheel-fairness-testing-of-autonomous-driving-systems
공식 코드Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems
https://github.com/xinzhuma/3dodi-survey
공식 코드3D Object Detection from Images for Autonomous Driving: A Survey
https://github.com/xinzhuma/monodle
공식 코드Delving into Localization Errors for Monocular 3D Object Detection
https://github.com/xjixzz/vadepth-net
공식 코드https://github.com/xjixzz/van_depth
공식 코드https://github.com/xjtu-cs-gao/satforhdmap
공식 코드Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction
https://github.com/xjtu-haolin/point_assisted_sample_selection
공식 코드Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection
https://github.com/xl-sr/CAL
공식 코드Conditional Affordance Learning for Driving in Urban Environments
https://github.com/xmed-lab/nuinstruct
공식 코드Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models
https://github.com/xmm-prio/bevtrack
공식 코드BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View
https://github.com/xr-lee/neural-symbolic
공식 코드Chameleon: Fast-slow Neuro-symbolic Lane Topology Extraction
https://github.com/xrenaa/safety-aware-motion-prediction
공식 코드Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
https://github.com/xu2729/cosdh
공식 코드https://github.com/xueleichen/snn-dvs-carla
공식 코드https://github.com/xupei0610/contextvae
공식 코드Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
https://github.com/xuyangbai/transfusion
공식 코드TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
https://github.com/xy-guo/GwcNet
공식 코드https://github.com/xz-group/AdverseDrive
공식 코드Attacking Vision-based Perception in End-to-End Autonomous Driving Models
https://github.com/yahidar/radarformer
공식 코드RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model
https://github.com/yahidar/transradar
공식 코드TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation
https://github.com/yancie-yjr/StreamYOLO
공식 코드https://github.com/yanconglin/icp-flow
공식 코드https://github.com/yangchen1997/wcdt
공식 코드WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
https://github.com/yanglei18/Lite-FPN
공식 코드https://github.com/yanglei18/mix-teaching
공식 코드https://github.com/yangt1013/speinet
공식 코드Video Deblurring by Sharpness Prior Detection and Edge Information
https://github.com/yangxue0827/h2rbox-jittor
공식 코드H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
https://github.com/yangxue0827/h2rbox-mmrotate
공식 코드H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
https://github.com/yannickycpan/reproducerl
공식 코드Understanding and Mitigating the Limitations of Prioritized Experience Replay
https://github.com/yanty123/DrivingSphere
공식 코드DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation
https://github.com/yanx27/2dpass
공식 코드2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.