fudan-zvg/SETR
SETR is a transformer-based approach for rethinking semantic segmentation from a sequence-to-sequence perspective.
Python
AI & Machine Learning
Computer Vision
MIT
1.1K
Stars
147
Forks
Dec 30, 2020
Created
Sep 2, 2024
Last Updated
Project Analytics
Stars Growth (1 Month)
+1
+0.1% change
Avg Daily Growth (1 Month)
+0.0
stars per day
Fork/Star Ratio (All Time)
13.2%
Good engagement
Lifetime Growth
0.6
stars/day over 1.9K days
Stars Over Time
Forks Over Time
Open Issues Over Time
Commits Over Time
AI-Generated Tags
computer-vision
segmentation
transformer
deep-learning
sequence-to-sequence
pytorch
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