CA-SUM
Reported on 6 benchmarks across 2 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision6 results
- F1-score51.1best: 54.48 (TAC-SUM)
- Parameters (M)5.25best: 100.76 (CSNet)
- training time (s)24best: 2825 (AC-SUM-GAN)