Object detection and segmentation for scene understanding via random forest

BR Chughtai, A Jalal - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
In recent days, object detection become a vast topic in computer vision. Accurate object
detection and scene understanding is not an easy task due to illumination, viewpoints, and …

[HTML][HTML] Indoor scene recognition via object detection and TF-IDF

E Heikel, L Espinosa-Leal - Journal of imaging, 2022 - mdpi.com
Indoor scene recognition and semantic information can be helpful for social robots.
Recently, in the field of indoor scene recognition, researchers have incorporated object-level …

Object-to-scene: Learning to transfer object knowledge to indoor scene recognition

B Miao, L Zhou, AS Mian, TL Lam… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Accurate perception of the surrounding scene is helpful for robots to make reasonable
judgments and behaviours. Therefore, develo** effective scene representation and …

[HTML][HTML] A deep learning-based global and segmentation-based semantic feature fusion approach for indoor scene classification

R Pereira, T Barros, L Garrote, A Lopes… - Pattern Recognition …, 2024 - Elsevier
This work proposes a novel approach that uses a semantic segmentation mask to obtain a
2D spatial layout of the segmentation-categories across the scene, designated by …

Srrm: Semantic region relation model for indoor scene recognition

C Song, X Ma - 2023 International Joint Conference on Neural …, 2023 - ieeexplore.ieee.org
Despite the remarkable success of convolutional neural networks in various computer vision
tasks, recognizing indoor scenes still presents a significant challenge due to their complex …

Attentional graph convolutional network for structure-aware audiovisual scene classification

L Zhou, Y Zhou, X Qi, J Hu, TL Lam… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Audiovisual scene understanding is a challenging problem due to the unstructured spatial–
temporal relations that exist in the audio signals and spatial layouts of different objects in the …

An active task cognition method for home service robot using multi-graph attention fusion mechanism

Y Cui, G Tian, Z Jiang, M Zhang, Y Gu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Active Task Cognition (ATC) requires the robot to comprehend the current scene using the
image within the field of view, enabling them to reason about appropriate and executable …

A single-stream adaptive scene layout modeling method for scene recognition

Q Wang, F Zhu, Z Lin, J Wang, X Li, P Zhao - Neural Computing and …, 2024 - Springer
Scene recognition has been the foundation of research in computer vision fields. Because
scene images typically are composed of specific regions distributed in some layout, so …

Inter-object discriminative graph modeling for indoor scene recognition

C Song, H Wu, X Ma - Knowledge-Based Systems, 2024 - Elsevier
Variable scene layouts and coexisting objects across scenes make indoor scene recognition
still a challenging task. Leveraging object information within scenes to enhance the …

Semantic-embedded similarity prototype for scene recognition

C Song, H Wu, X Ma, Y Li - Pattern Recognition, 2024 - Elsevier
Due to the high inter-class similarity caused by the complex composition and the co-existing
objects across scenes, numerous studies have explored object semantic knowledge within …