Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
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Updated
Aug 30, 2023 - Python
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.
Visualization and initialization tools for caffe (and pycaffe)
Python Re-implementation of kevinlin311tw/caffe-cvprw15
Semantically consistent regularizer for zero-shot learning
Flask backend for caffe image classification project
SFA : Small Faces Attention Face Detector, IEEE Access 2019
API to modify existing caffe nets for transfer learning
Superproject for all ML learning, practice and experiments.
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
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