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Found 3 papers, 1 papers with code
Garbage Segmentation and Attribute Analysis by Robotic Dogs
In this study, we propose GSA2Seg (Garbage Segmentation and Attribute Analysis), a novel visual approach that utilizes quadruped robotic dogs as autonomous agents to address waste management and recycling challenges in diverse indoor and outdoor environments.
B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action Recognition
Human Action Recognition plays a driving engine of many human-computer interaction applications.
Ranked #19 on
Action Recognition
on NTU RGB+D
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation
Therefore, at the context level, we can produce diverse context descriptions by using a context augmentation method based on the original dataset.
