Papers with Code 아카이브
Autonomous Vehicles
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/patientzero/timage-icann2019
https://github.com/paulblum00/ResNet-Recreation
https://github.com/paulesta55/PINet
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
https://github.com/pauls658/ReluDiff-ICSE2020-Artifact
Formal Security Analysis of Neural Networks using Symbolic Intervals
https://github.com/pawelbeza/ClothesDetectorModel
https://github.com/peikexin9/deepxplore
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
https://github.com/pengrenlai/RetinaNet-tensorflow
https://github.com/pengyuan-zhou/Multi-agent-RL-traffic-light-control
Flow: A Modular Learning Framework for Mixed Autonomy Traffic
https://github.com/peter8301120/darknet_t
https://github.com/peterhong27/x-crop
Towards End-to-End Lane Detection: an Instance Segmentation Approach
https://github.com/peteryuX/arcface-tf2
https://github.com/petrum01/Capstone_project_object_detection
https://github.com/pgchui/openpilot_in_carla
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
https://github.com/phillity/BioCapsule
https://github.com/phnk/yolov3
https://github.com/photosynthesis-seu/Edit_ORB_SLAM2
https://github.com/piaosonglin1985/tf-faster-rcnn
https://github.com/piazzesiNiccolo/myLbc
https://github.com/pierluigiferrari/ssd_keras
https://github.com/pikkaay/efficientnet_gpu
https://github.com/pistachio0812/YOLOX
https://github.com/pixiedust18/darknet_mask_classification
https://github.com/pjlab-adg/openpcseg
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/pjlab-adg/pcseg
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/pjreddie/darknet
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/pkoripalli/Self-Driving-Car
https://github.com/pku-ai-edge/roadnetsz
https://github.com/pmcgrath249/DMMFODS
https://github.com/pmcgrath249/DeepCVLab
https://github.com/pmcgrath249/DeepCV_Lab
https://github.com/pminhtam/keras_yolo3
https://github.com/pmiraldo/MinimalMultiPerspectivePose
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines
https://github.com/pmj110119/yolox
https://github.com/pmwenzel/carla-domain-adaptation
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
https://github.com/poodarchu/Det3D
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.