RegNet: Self-Regulated Network for Image Classification
Open paper
Benchmark
Model
Rank
Results
image-classification-on-gashissdb
RegNetY-3.2GF
#7
Accuracy: 97.48
Precision: 99.97
F1-Score: 98.70
medical-image-classification-on-nct-crc-he-100k
RegNetY-3.2GF
#3
Accuracy (%): 95.42
F1-Score: 97.39
Precision: 99.97
…
Rank counts only results with a code link.