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This is the implementation for PyTroch 0.4.1. - The HRNet OCR version ia available here. - The PyTroch 1.1 version is available here.
This repository serves as a centralized collection of state-of-the-art deep learning architectures and reference implementations designed for research and application development. It provides a comprehensive toolkit for computer vision and natural language processing, offering pre-built models and training pipelines for tasks ranging from image classification and object detection to complex sequence modeling. The project distinguishes itself by providing a flexible execution harness that manages the entire training lifecycle, including data ingestion and backpropagation. It supports scalable
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
The main features of tusimple/tusimple-duc are: Segmentation Architectures, Image segmentation.
Projects with overlapping indexed features include: tensorflow/models — This repository serves as a centralized collection of state-of-the-art deep learning architectures and reference… wkentaro/pytorch-fcn — PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.). davidtvs/pytorch-enet. 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… akirasosa/mobile-semantic-segmentation. aayushbansal/pixelnet.