Balraj Ashwath's repositories

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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CAM

Class Activation Mapping

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ConvCRF

This repository contains the reference implementation for our proposed Convolutional CRFs.

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CRF-semantic-segmentation

使用CRF进行语义分割

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deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

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DeepColoring

Instance Segmentation by Deep Coloring

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DeepNetsForEO

Deep networks for Earth Observation

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DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

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EarthMapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

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fast-rcnn

Fast R-CNN

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faster_rcnn

Faster R-CNN

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Faster_RCNN_for_DOTA

Code used for training Faster R-CNN on DOTA

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FastMaskRCNN

Mask RCNN in TensorFlow

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FC-DenseNet

Fully Convolutional DenseNets for semantic segmentation.

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FCN.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

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KittiSeg

A Kitti Road Segmentation model implemented in tensorflow.

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Mask-RCNN-series

This series we'll use Mask RCNN

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ML-AI-experiments

All my experiments with AI and ML

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pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

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pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

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pytorch-vsumm-reinforce

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

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Scene-Text-Understanding

OCR, Scene-Text-Understanding, Text Recognition

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sceneparsing

Development kit for MIT Scene Parsing Benchmark

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SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

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self-driving-car-1

Udacity Self-Driving Car Engineer Nanodegree projects.

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SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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TensorFlow-ENet

TensorFlow implementation of ENet

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TensorKart

self-driving MarioKart with TensorFlow

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unet

unet for image segmentation

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