The ImageNet architectures scale from 18 to 152 weighted layers while retaining lower reported forward complexity than VGG-16/19 at the deepest setting; the 34-layer baseline is reported as 18% of VGG-19's complexity.

The ImageNet architectures scale from 18 to 152 weighted layers while retaining lower reported forward complexity than VGG-16/19 at the deepest setting; the 34-layer baseline is reported as 18% of VGG-19's complexity. · CiteArk

Measurement results

0/8 assessed

0 supported0 disputed or conflicting8 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Reported	Latest observation	Evidence judgment
1,800,000,000 FLOPs (multiply-adds)	—	Not assessed
3,600,000,000 FLOPs (multiply-adds)	—	Not assessed
3,800,000,000 FLOPs (multiply-adds)	—	Not assessed
7,600,000,000 FLOPs (multiply-adds)	—	Not assessed
11,300,000,000 FLOPs (multiply-adds)	—	Not assessed
15,300,000,000 FLOPs (multiply-adds)	—	Not assessed
19,600,000,000 FLOPs (multiply-adds)	—	Not assessed
18 percent of VGG-19 FLOPs	—	Not assessed

The ImageNet architectures scale from 18 to 152 weighted layers while retaining lower reported forward complexity than VGG-16/19 at the deepest setting; the 34-layer baseline is reported as 18% of VGG-19's complexity.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results