Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
-
Updated
Feb 10, 2017 - MATLAB
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
A Caffe-based implementation of very deep convolution network for image super-resolution
NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW
ID-discriminative Embedding (IDE) for Person Re-identification
Trajectory-pooled Deep-Convolutional Descriptors
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
code for Two-Stream SR-CNNs for Action Recognition in Videos 2016
Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)
Class Activation Mapping with Caffe using the Python wrapper pycaffe instead of matlab.
Co-attending Regions and Detections for VQA.
[official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
The code for preparing the training data for crowd counting / segmentation algorithm.
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing (CVPR 2017)
Upright orientation of 3D shapes with convolutional networks
Caffe implementation of "Two-Stage Convolutional Network for Image Super-Resolution" (ICPR 2018)
Repository for implementation of SalNet360 in Caffe
Add a description, image, and links to the caffe topic page so that developers can more easily learn about it.
To associate your repository with the caffe topic, visit your repo's landing page and select "manage topics."