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Found 6 papers, 5 papers with code
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images
Perception that involves multi-object detection and tracking, and trajectory prediction are two major tasks of autonomous driving.
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Trajectory prediction for autonomous driving must continuously reason the motion stochasticity of road agents and comply with scene constraints.
Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and Benchmark
In addition, we propose a network named M2Net, which integrates multi-modality features from the RGB images, contour images and human parsing images.
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model
This paper proposes an attention-based graph model, named GATraj, which achieves a good balance of prediction accuracy and inference speed.
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
To relieve the burden of labor-intensive labeling, deep unsupervised SOD methods have been proposed to exploit noisy labels generated by handcrafted saliency methods.
Road Network Guided Fine-Grained Urban Traffic Flow Inference
Furthermore, we take the road network feature as a query to capture the long-range spatial distribution of traffic flow with a transformer architecture.
