2 papers
cs.CV2023
Efficient Multi-Object Pose Estimation using Multi-Resolution Deformable Attention and Query Aggregation
Arul Selvam Periyasamy, Vladimir Tsaturyan, Sven Behnke
Object pose estimation is a long-standing problem in computer vision. Recently, attention-based vision transformer models have achieved state-of-the-art results in many computer vi…
cs.CV2023
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation
Arul Selvam Periyasamy, Arash Amini, Vladimir Tsaturyan +1
6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications. The state-of-the-art models for pose estimation are convolutional neural network…