Search Results for author:
Found 3 papers, 3 papers with code
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation
Reinforcement learning(RL) algorithms face the challenge of limited data efficiency, particularly when dealing with high-dimensional state spaces and large-scale problems.
Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal Integration
To tackle this challenge, we proposed a pioneering two-stage hybrid Convolutional Neural Network (CNN) architecture, which connects segmentation and pose estimation in tandem.
Ranked #1 on
6D Pose Estimation using RGBD
on YCB-Video
Fast Intent Classification for Spoken Language Understanding
To address the latency and computational complexity issues, we explore a BranchyNet scheme on an intent classification scheme within SLU systems.
