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UniNeXt: Exploring A Unified Architecture for Vision Recognition

Main Results on ImageNet

model Attention acc@1 #params #FLOPs
UniNeXt-T local window 83.6 24M 4.3G
UniNeXt-S local window 84.1 51M 9.5G
UniNeXt-B local window 84.4 91M 17.1G
UniNeXt-T cross-shaped window 83.5 24M 4.3G
UniNeXt-S cross-shaped window 84.3 51M 9.6G
UniNeXt-B cross-shaped window 84.7 91M 17.2G

Main Results on Downstream Tasks

COCO Object Detection

backbone Attention Method pretrain lr Schd box mAP mask mAP
UniNeXt-T local window Mask R-CNN ImageNet-1K 1x 48.6 43.4
UniNeXt-S local window Mask R-CNN ImageNet-1K 1x 49.0 43.7
UniNeXt-B local window Mask R-CNN ImageNet-1K 1x 49.3 43.9
UniNeXt-T cross-shaped window Mask R-CNN ImageNet-1K 1x 48.7 43.6
UniNeXt-S cross-shaped window Mask R-CNN ImageNet-1K 1x 49.2 43.8
UniNeXt-B cross-shaped window Mask R-CNN ImageNet-1K 1x - -

ADE20K Semantic Segmentation (val)

Backbone Attention Method pretrain Crop Size Lr Schd mIoU mIoU (ms+flip)
UniNeXt-T local window UPerNet ImageNet-1K 512x512 160K 49.7 50.6
UniNeXt-S local window UperNet ImageNet-1K 512x512 160K 51.0 51.8
UniNeXt-B local window UperNet ImageNet-1K 512x512 160K 51.4 52.2
UniNeXt-T cross-shaped window UPerNet ImageNet-1K 512x512 160K 49.9 -
UniNeXt-S cross-shaped window UperNet ImageNet-1K 512x512 160K 51.5 -
UniNeXt-B cross-shaped window UperNet ImageNet-1K 512x512 160K 51.6 -

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