GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → zhimingluo → NLDF

zhimingluo / NLDF

Licence: other
No description or website provided.

Programming Languages

python
139335 projects - #7 most used programming language

Labels

cvpr-2017salient-object-detection

Projects that are alternatives of or similar to NLDF

Text-Effects-Transfer
Matlab implementation of the paper "Awesome Typography: Statistics-Based Text Effects Transfer"
Stars: ✭ 40 (-32.2%)
Mutual labels:  cvpr-2017
Sphereface
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Stars: ✭ 1,483 (+2413.56%)
Mutual labels:  cvpr-2017
Pytorch realtime multi Person pose estimation
Pytorch version of Realtime Multi-Person Pose Estimation project
Stars: ✭ 205 (+247.46%)
Mutual labels:  cvpr-2017
Openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Stars: ✭ 22,892 (+38700%)
Mutual labels:  cvpr-2017
Keras realtime multi Person pose estimation
Keras version of Realtime Multi-Person Pose Estimation project
Stars: ✭ 728 (+1133.9%)
Mutual labels:  cvpr-2017
Pytorch Pose Estimation
PyTorch Implementation of Realtime Multi-Person Pose Estimation project.
Stars: ✭ 152 (+157.63%)
Mutual labels:  cvpr-2017
pytorch-polygon-rnn
Pytorch implementation of Polygon-RNN(http://www.cs.toronto.edu/polyrnn/poly_cvpr17/)
Stars: ✭ 102 (+72.88%)
Mutual labels:  cvpr-2017
RGBD-SOD-datasets
All those partitioned RGB-D Saliency Datasets we collected are shared in ready-to-use manner.
Stars: ✭ 46 (-22.03%)
Mutual labels:  salient-object-detection
Hard Aware Deeply Cascaed Embedding
source code for the paper "Hard-Aware-Deeply-Cascaed-Embedding"
Stars: ✭ 32 (-45.76%)
Mutual labels:  cvpr-2017
Sca Cnn.cvpr17
Image Captions Generation with Spatial and Channel-wise Attention
Stars: ✭ 198 (+235.59%)
Mutual labels:  cvpr-2017
Deepalignmentnetwork
A deep neural network for face alignment
Stars: ✭ 480 (+713.56%)
Mutual labels:  cvpr-2017
Residual Attention Network
Residual Attention Network for Image Classification
Stars: ✭ 525 (+789.83%)
Mutual labels:  cvpr-2017
Cvpr 2017 Abstracts Collection
Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments
Stars: ✭ 186 (+215.25%)
Mutual labels:  cvpr-2017
Human Motion Prediction
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
Stars: ✭ 294 (+398.31%)
Mutual labels:  cvpr-2017
Pytorch Lapsrn
Pytorch implementation for LapSRN (CVPR2017)
Stars: ✭ 215 (+264.41%)
Mutual labels:  cvpr-2017
rmpe dataset server
Realtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.
Stars: ✭ 14 (-76.27%)
Mutual labels:  cvpr-2017
Ffcc
Fast Fourier Color Constancy: an auto white balance solution with machine learning in Fourier space
Stars: ✭ 133 (+125.42%)
Mutual labels:  cvpr-2017
score-zeroshot
Semantically consistent regularizer for zero-shot learning
Stars: ✭ 65 (+10.17%)
Mutual labels:  cvpr-2017
Wildcat.pytorch
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
Stars: ✭ 238 (+303.39%)
Mutual labels:  cvpr-2017
Rpnplus
RPN+(Tensorflow) for people detection
Stars: ✭ 191 (+223.73%)
Mutual labels:  cvpr-2017
View All Similar Projects ➔

Non-Local Deep Features for Salient Object Detection

This repository contains the code of the paper:

Luo Z, Mishra A, Achkar A, Eichel J, Li S-Z, Jodoin P-M, “Non-Local Deep Features for Salient Object Detection”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)

The pre-train model and saliency map can be download at the project page.

https://sites.google.com/view/zhimingluo/nldf

The npy file the VGG-16 can be download at this link: https://github.com/machrisaa/tensorflow-vgg

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].