670 Open source projects that are alternatives of or similar to Dsrg

DeepLab resnet v2 model in pytorch

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DeepLab-ResNet rebuilt in Pytorch

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The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

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DeepLab-ResNet rebuilt in TensorFlow

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The NNEF Tools repository contains tools to generate and consume NNEF documents

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Use caffe to train your own data in just one click

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

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Auto-ReID and Other Person Re-Identification Projects

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CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

An awesome semantic segmentation model that runs in real time

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

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Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

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A large-scale dataset for face parsing (AAAI2020)

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Be Driven 🚘

Sandbox for training deep learning networks

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge