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MODELS.md

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Models

Here, we provide model weights and config files for the main models from our CVPR 2024 paper.

Pascal-PP

Method Backbone Pre-training PartPQ_Pt PartPQ_NoPt PartPQ_All PartSQ_Pt PQ config model
TAPPS R50 ImageNet1K 59.6 39.4 44.6 74.3 47.1 config model
TAPPS R50 COCO 67.2 50.4 54.7 75.1 57.7 config model
TAPPS Swin-B COCO 72.2 56.3 60.4 78.1 63.0 config model

Pascal-PP-107

Method Backbone Pre-training PartPQ_Pt PartPQ_NoPt PartPQ_All PartSQ_Pt PQ config model
TAPPS R50 ImageNet1K 49.8 39.3 42.0 61.7 47.2 config model
TAPPS R50 COCO 55.4 50.0 51.4 62.1 57.4 config model

Cityscapes-PP

Method Backbone Pre-training PartPQ_Pt PartPQ_NoPt PartPQ_All PartSQ_Pt PQ config model
TAPPS R50 ImageNet1K 48.7 63.1 59.3 66.8 62.4 config model
TAPPS R50 COCO 48.9 65.7 61.3 66.9 64.4 config model
TAPPS Swin-B COCO 53.0 69.0 64.8 68.0 68.0 config model