Replacing VGG-16 with ResNet-101 in an otherwise matched baseline Faster R-CNN improves PASCAL VOC 2007 test mAP from 73.2% to 76.4% and VOC 2012 test mAP from 70.4% to 73.8%, gains above three percentage points on both datasets.

Replacing VGG-16 with ResNet-101 in an otherwise matched baseline Faster R-CNN improves PASCAL VOC 2007 test mAP from 73.2% to 76.4% and VOC 2012 test mAP from 70.4% to 73.8%, gains above three percentage points on both datasets. · CiteArk

Measurement results

0/4 assessed

0 supported0 disputed or conflicting4 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
73.2%	—	Not assessed
76.4%	—	Not assessed
70.4%	—	Not assessed
73.8%	—	Not assessed

Replacing VGG-16 with ResNet-101 in an otherwise matched baseline Faster R-CNN improves PASCAL VOC 2007 test mAP from 73.2% to 76.4% and VOC 2012 test mAP from 70.4% to 73.8%, gains above three percentage points on both datasets.

Reported and observed measurements

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Measurement results