Collections: - Name: PIDNet License: Apache License 2.0 Metadata: Training Data: - Cityscapes Paper: Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' URL: https://arxiv.org/pdf/2206.02066.pdf README: configs/pidnet/README.md Frameworks: - PyTorch Models: - Name: pidnet-s_2xb6-120k_1024x1024-cityscapes In Collection: PIDNet Results: Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.74 mIoU(ms+flip): 80.87 Config: configs/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes.py Metadata: Training Data: Cityscapes Batch Size: 12 Architecture: - PIDNet-S - PIDNet Training Resources: 2x A100 GPUS Memory (GB): 3.38 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes/pidnet-s_2xb6-120k_1024x1024-cityscapes_20230302_191700-bb8e3bcc.pth Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes/pidnet-s_2xb6-120k_1024x1024-cityscapes_20230302_191700.json Paper: Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' URL: https://arxiv.org/pdf/2206.02066.pdf Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py Framework: PyTorch - Name: pidnet-m_2xb6-120k_1024x1024-cityscapes In Collection: PIDNet Results: Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 80.22 mIoU(ms+flip): 82.05 Config: configs/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes.py Metadata: Training Data: Cityscapes Batch Size: 12 Architecture: - PIDNet-M - PIDNet Training Resources: 2x A100 GPUS Memory (GB): 5.14 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes/pidnet-m_2xb6-120k_1024x1024-cityscapes_20230301_143452-f9bcdbf3.pth Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes/pidnet-m_2xb6-120k_1024x1024-cityscapes_20230301_143452.json Paper: Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' URL: https://arxiv.org/pdf/2206.02066.pdf Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py Framework: PyTorch - Name: pidnet-l_2xb6-120k_1024x1024-cityscapes In Collection: PIDNet Results: Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 80.89 mIoU(ms+flip): 82.37 Config: configs/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes.py Metadata: Training Data: Cityscapes Batch Size: 12 Architecture: - PIDNet-L - PIDNet Training Resources: 2x A100 GPUS Memory (GB): 5.83 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes/pidnet-l_2xb6-120k_1024x1024-cityscapes_20230303_114514-0783ca6b.pth Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes/pidnet-l_2xb6-120k_1024x1024-cityscapes_20230303_114514.json Paper: Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' URL: https://arxiv.org/pdf/2206.02066.pdf Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py Framework: PyTorch