Marco Toldo
4 papers · 2021–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Machine Learning
(4)
Computer Vision
(3)
Analysis
(3)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
semantic segmentation
(3)
continual learning
(2)
source-free domain adaptation
(1)
incremental learning
(1)
class-incremental learning
(1)
unsupervised domain adaptation
(1)
feature clustering
(1)
generative adversarial network
(1)
style adaptation
(1)
clustered federated learning
(1)
semantic drift
(1)
replay-based learning
(1)
orthogonal embedding
(1)
clustered embedding
(1)
representation learning
(1)
feature drift
(1)
catastrophic forgetting
(1)
Papers
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
WACV 2023
Bring Evanescent Representations to Life in Lifelong Class Incremental Learning
CVPR 2022
RECALL: Replay-Based Continual Learning in Semantic Segmentation
ICCV 2021
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
WACV 2021