https://github.com/AngeLouCN/CFPNet
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
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.
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision
Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
Crafting Adversarial Input Sequences for Recurrent Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.