Papers with Code 아카이브
Autonomous Vehicles
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Autonomous vehicles is the task of making a vehicle that can guide itself 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: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amalbros/Self-Driving-Car-Simulation
https://github.com/aman-garg0001/fruit-classifier
https://github.com/amansinha/neural-bridge
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
https://github.com/amazingcodeLYL/Traffic_signs_detection_darket
https://github.com/amazon-research/long-short-term-transformer
https://github.com/amazon-science/long-short-term-transformer
https://github.com/ameyskulkarni/End-to-End-Learning-for-Steering-Angle-Prediction
https://github.com/aminekha/AI-For-2022
https://github.com/amiryanj/socialways
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/amittiwary42/target-detection-eeg-signals
https://github.com/amogh7joshi/engagement-detection
https://github.com/amogh7joshi/fer
https://github.com/amogh7joshi/plant-health-detection
https://github.com/amritasaha1812/pytorch-faster-rcnn
https://github.com/anasbadawy/Steering-Prediction-CNN
https://github.com/anastasiawd/brightvo
https://github.com/ancorso/InterpretableValidation.jl
https://github.com/and-mill/2024-sponge-example-analysis
https://github.com/andreasveit/densenet-pytorch
https://github.com/andrijdavid/clinical-brain-interface-2020
https://github.com/angelvillar96/FaceEmoji
https://github.com/anguyen8/sam
https://github.com/anhnktp/yolov3
https://github.com/anibali/dsnt-pose2d
https://github.com/aniket-patra-1998/FLOWER_RECOGNITION
https://github.com/anirudh9784/Adversarial-Defense
An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks
https://github.com/anjandeepsahni/face_classification
https://github.com/anjandeepsahni/face_recognition
https://github.com/ankit-vaghela30/Google-landmark-prediction
https://github.com/ankitshah009/CarCrash_forecasting_and_detection
CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis
https://github.com/ankur-rc/autodrive_ddpg
https://github.com/annabellachen/newDarknet
https://github.com/anonymousjack/hijacking
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
https://github.com/anookeen/yolo
https://github.com/anoushkrit/Knowledge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.