Zero-shot category-level object pose estimation
Object pose estimation is an important component of most vision pipelines for embodied agents, as well as in 3D vision more generally. In this paper we tackle the problem of estimating the pose of novel object categories in a zero-shot manner. This extends much of the existing literature by removing...
Main Authors: | Goodwin, W, Vaze, S, Havoutis, I, Posner, I |
---|---|
Format: | Conference item |
Language: | English |
Published: |
Springer
2022
|
Similar Items
-
You only look at one: category-level object representations for pose estimation from a single example
by: Goodwin, W, et al.
Published: (2023) -
Semantically grounded object matching for robust robotic scene rearrangement
by: Goodwin, W, et al.
Published: (2022) -
Optimal Pose and Shape Estimation for Category-level 3D Object Perception
by: Shi, Jingnan, et al.
Published: (2021) -
Attributes’ Importance for Zero-Shot Pose-Classification Based on Wearable Sensors
by: Hiroki Ohashi, et al.
Published: (2018-08-01) -
Category-Level Object Pose Estimation in Heavily Cluttered Scenes by Generalized Two-Stage Shape Reconstructor
by: Hiroki Tatemichi, et al.
Published: (2024-01-01)