AdelaiDet Model Zoo and Baselines Introduction This file documents a collection of models trained with AdelaiDet in Nov, 2019. Models The inference time is measured on one 1080Ti based on the most recent commit on Detectron2 (ffff8ac). More models will be released soon. Stay tuned. COCO Object Detecton Baselines with FCOS Name box AP download FCOS_R_50_1x 38.7 model COCO Instance Segmentation Baselines with BlendMask Model Name inference time (ms/im) box AP mask AP download Mask R-CNN 550_R_50_3x 63 39.1 35.3 BlendMask 550_R_50_3x 36 38.7 34.5 model Mask R-CNN R_50_1x 80 38.6 35.2 BlendMask R_50_1x 73 39.9 35.8 model Mask R-CNN R_50_3x 80 41.0 37.2 BlendMask R_50_3x 74 42.7 37.8 model Mask R-CNN R_101_3x 100 42.9 38.6 BlendMask R_101_3x 94 44.8 39.5 model BlendMask R_101_dcni3_5x 105 46.8 41.1 model COCO Panoptic Segmentation Baselines with BlendMask Model Name PQ PQTh PQSt download Panoptic FPN R_50_3x 41.5 48.3 31.2 BlendMask R_50_3x 42.5 49.5 32.0 model Panoptic FPN R_101_3x 43.0 49.7 32.9 BlendMask R_101_3x 44.3 51.6 33.2 model BlendMask R_101_dcni3_5x 46.0 52.9 35.5 model Person in Context with BlendMask Model Name box AP mask AP download BlendMask R_50_1x 70.6 66.7 model