Code of our paper "Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning"

Last update: Dec 13, 2022

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Deep Learning CCOP

Overview

CCOP

Code of our paper Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning

Requirement

Install OpenSelfSup
Install Detectron2, Do not forget to setup Detectron2 datasets!!!
Install Kornia for fast data augmentation

Usage

Run Selective Search

% remember to setup the dataset paths
python tools/selective_search.py

Setup dataset

mkdir data
ln -s path_to_coco data

Run CCOP pre-training and Mask R-CNN benchmark

% training a ResNet-50 model with 8 GPU
zsh tools/det_train_benchmark.sh configs/selfsup/ccop/r50_d2.py 8 path_to_output

Citation

@article{yang2021contrastive,
  title={Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning},
  author={Yang, Chenhongyi and Huang, Lichao and Crowley, Elliot J},
  journal={arXiv preprint arXiv:2111.13651},
  year={2021}
}

Owner

Chenhongyi Yang

Ph.D. student at the University of Edinburgh.

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Code of our paper "Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning"

Related tags

Overview

CCOP

Requirement

Usage

Run Selective Search

Setup dataset

Run CCOP pre-training and Mask R-CNN benchmark

Citation

Owner

Chenhongyi Yang

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Code of our paper "Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning"

Related tags

Overview

CCOP

Requirement

Usage

Run Selective Search

Setup dataset

Run CCOP pre-training and Mask R-CNN benchmark

Citation

Owner

Chenhongyi Yang

a generic C++ library for image analysis

Official Implementation of Swapping Autoencoder for Deep Image Manipulation (NeurIPS 2020)

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DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.

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Out-of-boundary View Synthesis towards Full-frame Video Stabilization

Graph neural network message passing reframed as a Transformer with local attention

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Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch

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