https://github.com/lab206/echotrack
공식 코드EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving
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.
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving
PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models
Margin-bounded Confidence Scores for Out-of-Distribution Detection
LCP-Fusion: A Neural Implicit SLAM with Enhanced Local Constraints and Computable Prior
Sill-Net: Feature Augmentation with Separated Illumination Representation
Safety Verification for Neural Networks Based on Set-boundary Analysis
Stochastic Segmentation with Conditional Categorical Diffusion Models
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty
CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
SimWorld: A Unified Benchmark for Simulator-Conditioned Scene Generation via World Model
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
Efficient Pressure: Improving efficiency for signalized intersections
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming Perception
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian Splatting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.