Coder Social home page Coder Social logo

bokorn's Projects

bag-of-words icon bag-of-words

Python Implementation of Bag of Words for Image Recognition using OpenCV and sklearn

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

densefusion icon densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

imantics icon imantics

:camera: Python3 package for managing, creating and visualizing different deep-learning image annotation formats

keras-and-theano-layers-for-switched-pooling icon keras-and-theano-layers-for-switched-pooling

This is an implementation of the switched pooling layers first described in Zieler 2011 1. Switched pooling layers are a variation of the convolution max pooling layers that store both the max of the window as well as the location of the max. Additionally, switched unpooling layers use this max value and location to recreate the original image, an important step in producing convolutional autoencoders. These switch layers may also contain useful information about the movement of features within an image. The implementation is an extension of Theano's pooling layers 2 and contains unit tests as well as wrappers for modular neural network library Keras 3. Adding this functionality to these open source libraries will allow us to leverage Theano and Keras's research communities for testing and optimization. 1 M. D. Zeiler, G. W. Taylor and R. Fergus, "Adaptive deconvolutional networks for mid and high level feature learning," 2011 International Conference on Computer Vision, Barcelona, 2011, pp. 2018-2025. 2 Theano Development Team. "Theano: A Python framework for fast computation of mathematical expressions". http://deeplearning.net/software/theano/ 3 Chollet, Francois, "Keras". https://github.com/fchollet/keras

kgp icon kgp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

posecnn icon posecnn

A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

theano icon theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

trackformer icon trackformer

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”.

voxlets icon voxlets

Code for the upcoming CVPR 2016 paper

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.