Semantic-enhanced panoptic scene graph generation through hybrid and axial attentions
Abstract The generation of panoramic scene graphs represents a cutting-edge challenge in image scene understanding, necessitating sophisticated predictions of both intra-object relationships and interactions between objects and their backgrounds. This complexity tests the limits of current predictiv...
Saved in:
| Main Authors: | Xinhe Kuang, Yuxin Che, Huiyan Han, Yimin Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-12-01
|
| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-024-01746-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DGTM: Deriving Graph from transformer with Mamba for panoptic scene graph generation
by: Youxuan Sun, et al.
Published: (2025-07-01) -
Image Captioning Based on Semantic Scenes
by: Fengzhi Zhao, et al.
Published: (2024-10-01) -
A hierarchical indoor spatial-semantic reasoning-based scene graph construction for elderly-centric safety warnings
by: Jianwu Jiang, et al.
Published: (2025-06-01) -
Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing: A Review
by: Rajesh Ankareddy, et al.
Published: (2025-01-01) -
Scene Graph and Natural Language-Based Semantic Image Retrieval Using Vision Sensor Data
by: Jaehoon Kim, et al.
Published: (2025-05-01)