Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models

no code implementations • 17 Nov 2023 • Yimeng Li, Navid Rajabi, Sulabh Shrestha, Md Alimoor Reza, Jana Kosecka

We aim to develop a cost-effective labeling approach to obtain pseudo-labels for semantic segmentation and object instance detection in indoor environments, with the ultimate goal of facilitating the training of lightweight models for various downstream tasks.

Object object-detection +3

Pose-Guided Knowledge Transfer for Object Part Segmentation

no code implementations • 1 Apr 2020 • Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, David J. Crandall

Object part segmentation is an important problem for many applications, but generating the annotations to train a part segmentation model is typically quite labor-intensive.

Object Segmentation +2