https://github.com/m-3lab/real3d-ad
PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
Orientation-aware Semantic Segmentation on Icosahedron Spheres
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.