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Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu
Paper Links: Our most recent TPAMI version with improvements and extensions (Earlier ICCV version).
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
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 main features of hrnet/hrnet-semantic-segmentation are: Attention Mechanisms, Segmentation Architectures, Image segmentation.
Projects with overlapping indexed features include: speedinghzl/ccnet — Paper Links: Our most recent TPAMI version with improvements and extensions (Earlier ICCV version). tusimple/tusimple-duc. davidtvs/pytorch-enet. junfu1115/danet — Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu. 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.).