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Found 3 papers, 1 papers with code
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Real-time processing is crucial in autonomous driving systems due to the imperative of instantaneous decision-making and rapid response.
Depth-discriminative Metric Learning for Monocular 3D Object Detection
Moreover, we introduce an auxiliary head for object-wise depth estimation, which enhances depth quality while maintaining the inference time.
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
To tackle the challenges, we propose a coarse-to-fine pipeline that benefits from 1) inverse kinematics from the occlusion-robust 3D skeleton estimation and 2) Transformer-based relation-aware refinement techniques.
Ranked #1 on
3D Multi-Person Pose Estimation
on MuPoTS-3D
(using extra training data)
