Panoptic Video Scene Graph Generation
Author:
Affiliation:
1. Nanyang Technological University,S-Lab,Singapore
2. SenseTime Research,Shenzhen,China
Funder
Ministry of Education, Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204944.pdf?arnumber=10204944
Reference59 articles.
1. Deep Residual Learning for Image Recognition
2. Video Demo: An Egocentric Vision Based Assistive Co-robot
3. Ego4D: Around the World in 3,000 Hours of Egocentric Video
4. Neural Motifs: Scene Graph Parsing with Global Context
5. Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs
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1. HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos;Sensors;2024-05-24
2. A survey of neurosymbolic visual reasoning with scene graphs and common sense knowledge;Neurosymbolic Artificial Intelligence;2024-05-13
3. Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-05
4. Scene Graph Generation: A comprehensive survey;Neurocomputing;2024-01
5. Image-Collection Summarization Using Scene-Graph Generation With External Knowledge;IEEE Access;2024
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