A self-supervised part segmentation via motion imitation is proposed. The complementarity of key point information and part information is investigated.
Given two images with the same appearance and different poses, the motion imitation is to warp the source image into the reference pose.
Given two images with the same appearance and different poses, the motion imitation is to warp the source image into the reference pose.
Our method is a self-supervised deep learning method for co-part segmentation. Differently from previous works, our approach develops the idea that motion ...
Sep 26, 2023 · Artificial Neural Networks and Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete ...
Missing: imitation. | Show results with:imitation.
Apr 15, 2021 · In this paper, we work towards developing a computer vision system able to segment objects by exploiting motion cues, ie motion segmentation.
Missing: imitation. | Show results with:imitation.
[PDF] Self-supervised Video Object Segmentation by Motion Grouping
charigyang.github.io › motiongroup
We propose a self-supervised approach to segment objects using only motion, i.e. optical flow. ... parts of the inputs via a softmax-based attention mecha- nism, ...
Missing: imitation. | Show results with:imitation.
A self-supervised part segmentation via motion imitation is proposed. • The complementarity of key point information and part information is investigated. • The ...
Feb 1, 2023 · We propose a motion-inductive model through directly processing consecutive RGB frames to segment the foreground objects and train it by ...
Missing: imitation. | Show results with:imitation.
... self-supervised manner, i.e. without using any manual annotations. Despite ... artificial intelligence and similar technologies. IEEE Account. Change ...
Missing: via imitation.