A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- Tomoya Sakai
- Haoxiang Qiu
- et al.
- 2024
- NeurIPS 2024
Tomoya Sakai
Bio
Tomoya Sakai is a researcher at IBM Research - Tokyo. For more details, please refer to the external website.
Publications
Exploring Different Types of Foundation Models on Flood Segmentation Datasets
- Haoxiang Qiu
- Daiki Kimura
- et al.
- 2024
- AGU 2024
Simple Class Relation Helps Generalized Few-Shot Semantic Segmentation
- Tomoya Sakai
- Haoxiang Qiu
- et al.
- 2024
- MIRU 2024
Domain Adaptation from Sequentially Arriving Target Images with Online Deep Sets
- 2024
- MIRU 2024
Domain-adaptive Instance Segmentation for Visual Inspection from Civil Infrastructure Images
- 2024
- MIRU 2024
Probabilistic feature matching for fast scalable visual prompting
- Thomas Frick
- Cezary Skura
- et al.
- 2024
- IJCAI 2024
Interactive Image Segmentation Guided by Visual Prompting
- Thomas Frick
- Cezary Skura
- et al.
- 2024
- CVPR 2024
A cycle consistency based Approach for Semantic Segmentation on crack images
- Haoxiang Qiu
- Tomoya Sakai
- et al.
- 2024
- SSII 2024
Preventing Catastrophic Forgetting in Generalized Few-Shot Semantic Segmentation
- 2024
- JSAI 2024
Visual-Text Prompting
- 2024
- JSAI 2024
Projects
Using AI to build computer vision models within minutes, through quick intuitive prompts, and with just a few images
Top collaborators
TK
Takayuki Katsuki
Researcher
HQ
DK
Daiki Kimura
Senior Research Scientist & Manager / Master Inventor
TO
Takayuki Osogami
Senior Technical Staff Member