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abby666's Projects

apollo icon apollo

An open autonomous driving platform

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

cfnet icon cfnet

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

cfwcr icon cfwcr

5th visual object tracking(VOT) tracker CFWCR

convcrf icon convcrf

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

crfasrnn icon crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

davis-2017 icon davis-2017

Package containing helper functions for loading and evaluating DAVIS https://graphics.ethz.ch/~perazzif/davis

davis-matlab icon davis-matlab

A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

deeplearningpython35 icon deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

detect-track icon detect-track

Code release for "Detect to Track and Track to Detect", ICCV 2017

eiba icon eiba

Efficient Incremental BA

enft icon enft

Efficient Non-Consecutive Feature Tracking for Robust SfM http://www.zjucvg.net/ls-acts/ls-acts.html

fcis icon fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.tensorflow icon fcn.tensorflow

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

fcn_train icon fcn_train

The code includes all the file that you need in the training stage for FCN

g2o icon g2o

g2o: A General Framework for Graph Optimization

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

hed icon hed

code for Holistically-Nested Edge Detection

kittiseg icon kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

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