[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"
-
Updated
Apr 25, 2017 - MATLAB
#
cvpr2016
Here are 5 public repositories matching this topic...
A non-iterative algorithm to reconstruct images from compressively sensed measurements.
image-reconstruction
research-paper
cvpr
compressive-sensing
pytorch-implementation
cvpr2016
reconnet
non-iterative
-
Updated
Oct 24, 2020 - Jupyter Notebook
A python re-implementation of Real-Time Salient Object Detection with a Minimum Spanning Tree, CVPR 2016
-
Updated
Feb 13, 2020 - Python
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
python
machine-learning
computer-vision
deep-learning
image-reconstruction
tensorflow
machine-learning-algorithms
image-processing
cnn
deeplearning
convolutional-neural-networks
super-resolution
cvpr
vdsr-algorithm
vdsr
superresolution
image-enhancement
cvpr16
single-image-super-resolution
cvpr2016
-
Updated
May 9, 2019 - Python
Executable binaries of Joint Recovery of Dense Correspondence and Cosegmentation in Two Images (CVPR 2016)
-
Updated
Nov 2, 2016
Improve this page
Add a description, image, and links to the cvpr2016 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the cvpr2016 topic, visit your repo's landing page and select "manage topics."