Visualization and initialization tools for caffe (and pycaffe)
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Updated
Nov 17, 2016 - Python
Visualization and initialization tools for caffe (and pycaffe)
Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
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
API to modify existing caffe nets for transfer learning
Flask backend for caffe image classification project
Semantically consistent regularizer for zero-shot learning
Python Re-implementation of kevinlin311tw/caffe-cvprw15
Superproject for all ML learning, practice and experiments.
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
SFA : Small Faces Attention Face Detector, IEEE Access 2019
A small Python wrapper to setup, run, manage, and monitor experiments based on Caffe.
Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
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