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SOTA
Image Matching
Image Matching On Zeb
Image Matching On Zeb
Metrics
Mean AUC@5°
Results
Performance results of various models on this benchmark
Columns
Model Name
Mean AUC@5°
Paper Title
GIM-RoMa
53.3
GIM: Learning Generalizable Image Matcher From Internet Videos
GIM-DKM
51.2
GIM: Learning Generalizable Image Matcher From Internet Videos
RoMa
48.8
RoMa: Robust Dense Feature Matching
DKM
46.2
DKM: Dense Kernelized Feature Matching for Geometry Estimation
GIM-LoFTR
39.1
GIM: Learning Generalizable Image Matcher From Internet Videos
GIM-LightGlue
38.3
GIM: Learning Generalizable Image Matcher From Internet Videos
LoFTR
33.1
LoFTR: Detector-Free Local Feature Matching with Transformers
RootSIFT
31.8
Three things everyone should know to improve object retrieval
LightGlue
31.7
LightGlue: Local Feature Matching at Light Speed
SuperGlue
31.2
SuperGlue: Learning Feature Matching with Graph Neural Networks
0 of 10 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Image Matching
Image Matching On Zeb
Image Matching On Zeb
Metrics
Mean AUC@5°
Results
Performance results of various models on this benchmark
Columns
Model Name
Mean AUC@5°
Paper Title
GIM-RoMa
53.3
GIM: Learning Generalizable Image Matcher From Internet Videos
GIM-DKM
51.2
GIM: Learning Generalizable Image Matcher From Internet Videos
RoMa
48.8
RoMa: Robust Dense Feature Matching
DKM
46.2
DKM: Dense Kernelized Feature Matching for Geometry Estimation
GIM-LoFTR
39.1
GIM: Learning Generalizable Image Matcher From Internet Videos
GIM-LightGlue
38.3
GIM: Learning Generalizable Image Matcher From Internet Videos
LoFTR
33.1
LoFTR: Detector-Free Local Feature Matching with Transformers
RootSIFT
31.8
Three things everyone should know to improve object retrieval
LightGlue
31.7
LightGlue: Local Feature Matching at Light Speed
SuperGlue
31.2
SuperGlue: Learning Feature Matching with Graph Neural Networks
0 of 10 row(s) selected.
Previous
Next
Image Matching On Zeb | SOTA | HyperAI