Collections: - Name: MinkUNet Metadata: Training Techniques: - AdamW Architecture: - MinkUNet Paper: URL: https://arxiv.org/abs/1904.08755 Title: '4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks' README: configs/minkunet/README.md Code: URL: https://github.com/open-mmlab/mmdetection3d/blob/1.1/mmdet3d/models/segmentors/minkunet.py#L13 Version: v1.1.0rc4 Models: - Name: minkunet_w16_8xb2-15e_semantickitti In Collection: MinkUNet Config: configs/minkunet/minkunet_w16_8xb2-15e_semantickitti.py Metadata: Training Data: SemanticKITTI Training Memory (GB): 3.4 Training Resources: 8x A100 GPUs Results: - Task: 3D Semantic Segmentation Dataset: SemanticKITTI Metrics: mIoU: 60.3 Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/minkunet/minkunet_w16_8xb2-15e_semantickitti/minkunet_w16_8xb2-15e_semantickitti_20230309_160737-0d8ec25b.pth - Name: minkunet_w20_8xb2-15e_semantickitti In Collection: MinkUNet Config: configs/minkunet/minkunet_w20_8xb2-15e_semantickitti.py Metadata: Training Data: SemanticKITTI Training Memory (GB): 3.7 Training Resources: 8x A100 GPUs Results: - Task: 3D Semantic Segmentation Dataset: SemanticKITTI Metrics: mIoU: 61.6 Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/minkunet/minkunet_w20_8xb2-15e_semantickitti/minkunet_w20_8xb2-15e_semantickitti_20230309_160718-c3b92e6e.pth - Name: minkunet_w32_8xb2-15e_semantickitti In Collection: MinkUNet Config: configs/minkunet/minkunet_w32_8xb2-15e_semantickitti.py Metadata: Training Data: SemanticKITTI Training Memory (GB): 4.9 Training Resources: 8x A100 GPUs Results: - Task: 3D Semantic Segmentation Dataset: SemanticKITTI Metrics: mIoU: 63.1 Weights: https://download.openmmlab.com/mmdetection3d/v1.1.0_models/minkunet/minkunet_w32_8xb2-15e_semantickitti/minkunet_w32_8xb2-15e_semantickitti_20230309_160710-7fa0a6f1.pth