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DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution