which will defaultly return the feature from last stage layer4 and frozen the stem and first stage of resnet backbone. Set name="resnet101" to use resnet-101 backbone.
Simple Explanation
We've additionally implement torchvision resnet backbone which has been used in detr original repo. This is because there's some different when it comes to R50-DC5 and R101-DC5 models.
In torchvision resnet50 model, there's only two bottlenecks have dilation=2 in last stage
TODO
DETR
official weights into detrex format:DETR-R50-DC5
,DETR-R101-DC5
DAB-DETR
official weights into detrex format:DAB-DETR-R50-DC5
,DAB-DETR-R50-3patterns
,DAB-R50-DC5-3patterns
,DAB-R101-DC5
pattern embeddings
as Anchor-DETR in DAB-DETRUsage
which will defaultly return the feature from last stage
layer4
and frozen the stem and first stage of resnet backbone. Setname="resnet101"
to use resnet-101 backbone.Simple Explanation
We've additionally implement
torchvision resnet
backbone which has been used in detr original repo. This is because there's some different when it comes toR50-DC5
andR101-DC5
models.In torchvision resnet50 model, there's only two bottlenecks have
dilation=2
in last stageBut in d2 resnet, all the bottlenecks in last stage have
dilation=2
: