Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

A small Python wrapper to setup, run, manage, and monitor experiments based on Caffe.

Python Re-implementation of kevinlin311tw/caffe-cvprw15

tutorial about caffe, scrapy, voctools, theano-NMF, multimodal

SFA : Small Faces Attention Face Detector, IEEE Access 2019

Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Chen, "Cross-batch Reference Learning for Deep Retrieval," IEEE Transactions on Neural Networks and Learning Systems, 2019

Visualization and initialization tools for caffe (and pycaffe)

Flask backend for caffe image classification project

API to modify existing caffe nets for transfer learning

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

Custom caffe loss layers.

Superproject for all ML learning, practice and experiments.

Semantically consistent regularizer for zero-shot learning