How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu
This is the implementation for PyTroch 0.4.1. - The HRNet OCR version ia available here. - The PyTroch 1.1 version is available here.
The table prvoides the models and results of various models on CIFAR100. Learning rate =0.1 and will be divided by 10 every 70 epochs. Total 300 epochs. Using SGD optimizer, momentum=0.9, weight_decay=5e-4. Loss is CrossEntropyLoss. Batch-size=512.
PyTorch implementation of UNet++ (Nested U-Net).
Paper Links: Our most recent TPAMI version with improvements and extensions (Earlier ICCV version).
The main features of speedinghzl/ccnet are: Attention Mechanisms, Segmentation Architectures.
Projects with overlapping indexed features include: junfu1115/danet — Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu. hrnet/hrnet-semantic-segmentation — This is the implementation for PyTroch 0.4.1. - The HRNet + OCR version ia available here. - The PyTroch 1.1 version… 13952522076/spanet — The table prvoides the models and results of various models on CIFAR100. Learning rate =0.1 and will be divided by 10… aayushbansal/pixelnet. aharley/segaware. 4uiiurz1/pytorch-nested-unet — PyTorch implementation of UNet++ (Nested U-Net).