MODELZOO.md

Pretrained Models

All pretrained models can be downloaded from Google Drive.

Arch	Pretrain Epoch	Link
C4	200	link
C4	400	link
FPN	200	link
FPN	400	link

Main Results

Here we list the results on MSCOCO with the detector of R50-C4 and R50-FPN. Without any multi-crop/auto/random augmentation, our InsLoc outperforms many previous contrastive methods. In order to clearly clarify the improvements brought by InsLoc, the comparison to the corresponding baseline (i.e., MoCo-v2) is as follows:

Mask R-CNN R50-C4 1x:

Methods	Epoch	Box AP	Mask AP
MoCo-v2	200	38.9	34.1
MoCo-v2	800	39.3	34.3
InsLoc	200	39.5	34.5
InsLoc	400	39.8	34.7

Mask R-CNN R50-C4 2x:

Methods	Epoch	Box AP	Mask AP
MoCo-v2	200	40.7	35.6
MoCo-v2	800	41.2	35.8
InsLoc	200	41.4	35.9
InsLoc	400	41.8	36.3

Mask R-CNN R50-FPN 1x:

Methods	Epoch	Box AP	Mask AP
MoCo-v2	200	39.8	36.1
MoCo-v2	800	40.4	36.4
InsLoc	200	41.4	37.1
InsLoc	400	42.0	37.6

Mask R-CNN R50-FPN 2x:

Methods	Epoch	Box AP	Mask AP
MoCo-v2	200	41.7	37.6
MoCo-v2	800	42.5	38.2
InsLoc	200	43.2	38.7
InsLoc	400	43.3	38.8

More results are available in our paper.