On COCO validation with matched baseline Faster R-CNN, replacing VGG-16 by ResNet-101 raises mAP@0.5 from 41.5% to 48.4% and COCO-standard mAP@[.5,.95] from 21.2% to 27.2%. The latter is reported as a 6.0-point absolute and 28% relative improvement, nearly as large in absolute terms as the 6.9-point mAP@0.5 gain.

On COCO validation with matched baseline Faster R-CNN, replacing VGG-16 by ResNet-101 raises mAP@0.5 from 41.5% to 48.4% and COCO-standard mAP@[.5,.95] from 21.2% to 27.2%. The latter is reported as a 6.0-point absolute and 28% relative improvement, nearly as large in absolute terms as the 6.9-point mAP@0.5 gain. · CiteArk

Measurement results

0/7 assessed

0 supported0 disputed or conflicting7 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
41.5%	—	Not assessed
21.2%	—	Not assessed
48.4%	—	Not assessed
27.2%	—	Not assessed
6.9 percentage points	—	Not assessed
6 percentage points	—	Not assessed
28%	—	Not assessed

Reported and observed measurements

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Measurement results