batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "ADAM" SOLVER.BASE_LR 0.001 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 200.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "ADAM" SOLVER.BASE_LR 0.002 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 200.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "ADAM" SOLVER.BASE_LR 0.0005 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 200.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0

batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.0025 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 20.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.005 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 20.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.01 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 20.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.02 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 20.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.04 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 20.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 0.1 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0

batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.01 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 2.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 1.0 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.02 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 2.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 1.0 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0
batch.1gpu python train_net.py --config-file configs/NYUv2/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv_scale.yaml SOLVER.OPTIMIZER "SGD" SOLVER.BASE_LR 0.04 MODEL.INS_EMBED_HEAD.CENTER_LOSS_WEIGHT 2.0 MODEL.INS_EMBED_HEAD.OFFSET_LOSS_WEIGHT 1.0 MODEL.SEM_SEG_HEAD.LOSS_WEIGHT 2.0