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Baichuan Sun

dblp:313/1827 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Segmentation and scene understanding · 87% Representation and self-supervised learning · 13%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Segmentation and scene understanding › semantic segmentation › transfer learning for semantic segmentation
multi-domain semantic segmentation
0.812024
Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings · Int. J. Comput. Vis. 2024
Computer vision › Segmentation and scene understanding
semantic segmentation
0.812024
Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings · Int. J. Comput. Vis. 2024
Machine learning › Representation and self-supervised learning › text embedding
sentence embedding
0.212024
Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings · Int. J. Comput. Vis. 2024

Methods — techniques the papers use, named apart from their topics

sentence embeddings · 0.8domain generalization · 0.8
YearPublicationVenuePosition
2024 Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings
Wei Yin 0006, Yifan Liu 0001, Chunhua Shen, Baichuan Sun, Anton van den Hengel
Int. J. Comput. Vis.4