Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency

Related tags

Deep LearningCycleContrast
Overview

Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency

This is a official implementation of the CycleContrast introduced in the paper:Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency

Citation

If you find our work useful, please cite:

@article{wu2021contrastive,
  title={Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency},
  author={Wu, Haiping and Wang, Xiaolong},
  journal={arXiv preprint arXiv:2105.06463},
  year={2021}
}

Preparation

Our code is tested on Python 3.7 and Pytorch 1.3.0, please install the environment via

pip install -r requirements.txt

Model Zoo

We provide the model pretrained on R2V2 for 200 epochs.

method pre-train epochs on R2V2 dataset ImageNet Top-1 Linear Eval OTB Precision OTB Success UCF Top-1 pretrained model
MoCo 200 53.8 56.1 40.6 80.5 pretrain ckpt
CycleContrast 200 55.7 69.6 50.4 82.8 pretrain ckpt

Run Experiments

Data preparation

Download R2V2 (Random Related Video Views) dataset according to https://github.com/danielgordon10/vince.

The direction structure should be as followed:

CycleContrast
├── cycle_contrast 
├── scripts 
├── utils 
├── data
│   ├── r2v2_large_with_ids 
│   │   ├── train 
│   │   │   ├── --/
│   │   │   ├── -_/
│   │   │   ├── _-/
│   │   │   ├── __/
│   │   │   ├── -0/
│   │   │   ├── _0/
│   │   │   ├── ...
│   │   │   ├── zZ/
│   │   │   ├── zz/
│   │   ├── val
│   │   │   ├── --/
│   │   │   ├── -_/
│   │   │   ├── _-/
│   │   │   ├── __/
│   │   │   ├── -0/
│   │   │   ├── _0/
│   │   │   ├── ...
│   │   │   ├── zZ/
│   │   │   ├── zz/

Unsupervised Pretrain

./scripts/train_cycle.sh

Downstream task - ImageNet linear eval

Prepare ImageNet dataset according to pytorch ImageNet training code.

MODEL_DIR=output/cycle_res50_r2v2_ep200
IMAGENET_DATA=data/ILSVRC/Data/CLS-LOC
./scripts/eval_ImageNet.sh $MODEL_DIR $IMAGENET_DATA

Downstream task - OTB tracking

Transfer to OTB tracking evaluation is based on SiamFC-Pytorch. Please prepare environment and data according to SiamFC-Pytorch

git clone https://github.com/happywu/mmaction2-CycleContrast
# path to your pretrained model, change accordingly
CycleContrast=/home/user/code/CycleContrast
PRETRAIN=${CycleContrast}/output/cycle_res50_r2v2_ep200/checkpoint_0199.pth.tar
cd mmaction2_tracking
./scripts/submit_r2v2_r50_cycle.py ${PRETRAIN}

Downstream task - UCF classification

Transfer to UCF action recognition evaluation is based on AVID-CMA, prepare data and env according to AVID-CMA.

git clone https://github.com/happywu/AVID-CMA-CycleContrast
# path to your pretrained model, change accordingly
CycleContrast=/home/user/code/CycleContrast
PRETRAIN=${CycleContrast}/output/cycle_res50_r2v2_ep200/checkpoint_0199.pth.tar
cd AVID-CMA-CycleContrast 
./scripts/submit_r2v2_r50_cycle.py ${PRETRAIN}

Acknowledgements

The codebase is based on FAIR-MoCo. The OTB tracking evaluation is based on MMAction2, SiamFC-PyTorch and vince. The UCF classification evaluation follows AVID-CMA.

Thank you all for the great open source repositories!

You might also like...
[ICCV'21] Official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations
[ICCV'21] Official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations

CrowdNav with Social-NCE This is an official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations by

VITA lab at EPFL 125 Dec 23, 2022
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Thalles Silva 1.7k Dec 28, 2022
Supervised Contrastive Learning for Downstream Optimized Sequence Representations
Supervised Contrastive Learning for Downstream Optimized Sequence Representations

SupCL-Seq 📖 Supervised Contrastive Learning for Downstream Optimized Sequence representations (SupCS-Seq) accepted to be published in EMNLP 2021, ext

Hooman Sedghamiz 18 Oct 21, 2022
《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》(EMNLP 2020)

The Most Important Thing. Our code is developed based on: LXMERT: Learning Cross-Modality Encoder Representations from Transformers

null 53 Dec 16, 2022
SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING - The Facebook paper about fine tuning RoBERTa with contrastive loss
SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING - The Facebook paper about fine tuning RoBERTa with contrastive loss

"# SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING" i

Saeed Lotfi 28 Dec 12, 2022
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence

In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training process.

Yang Wenhan 44 Dec 6, 2022
Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments

Cross-Quality Labeled Faces in the Wild (XQLFW) Here, we release the database, evaluation protocol and code for the following paper: Cross Quality LFW

Martin Knoche 10 Dec 12, 2022
Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

Pixel-Level Cycle Association This is the Pytorch implementation of our NeurIPS 2020 Oral paper Pixel-Level Cycle Association: A New Perspective for D

null 87 Oct 19, 2022
Code and models for ICCV2021 paper
Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

Robust Object Detection via Instance-Level Temporal Cycle Confusion This repo contains the implementation of the ICCV 2021 paper, Robust Object Detect

Xin Wang 69 Oct 13, 2022
Owner
GitHub Repository
Data and code for the paper "Importance of Kernel Bandwidth in Quantum Machine Learning"

Reproducibility materials for "Importance of Kernel Bandwidth in Quantum Machine Learning" Repo structure: code contains Python scripts used to genera

Ruslan Shaydulin 3 Oct 23, 2022
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [2021]

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations This repo contains the Pytorch implementation of our paper: Revisit

Wouter Van Gansbeke 80 Nov 20, 2022
Source code of generalized shuffled linear regression

Generalized-Shuffled-Linear-Regression Code for the ICCV 2021 paper: Generalized Shuffled Linear Regression. Authors: Feiran Li, Kent Fujiwara, Fumio

FEI 7 Oct 26, 2022
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation

SUCP Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation () Direct Friends (i.e., users who follow each o

Kosar 8 Nov 26, 2022
Imagededup - 😎 Finding duplicate images made easy

imagededup is a python package that simplifies the task of finding exact and near duplicates in an image collection.

idealo 4.3k Jan 07, 2023
This repository contains an implementation of the Permutohedral Attention Module in Pytorch

Permutohedral_attention_module This repository contains an implementation of the Permutohedral Attention Module

Samuel JOUTARD 26 Nov 27, 2022
🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Hugging Face Optimum 🤗 Optimum is an extension of 🤗 Transformers, providing a set of performance optimization tools enabling maximum efficiency to t

Hugging Face 842 Dec 30, 2022
some classic model used to segment the medical images like CT、X-ray and so on

github_project This is a project for medical image segmentation. This project includes common medical image segmentation models such as U-net, FCN, De

2 Mar 30, 2022
The source code for 'Noisy-Labeled NER with Confidence Estimation' accepted by NAACL 2021

Kun Liu*, Yao Fu*, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao. Noisy-Labeled NER with Confidence Estimation. NAACL 2021. [arxiv]

30 Nov 12, 2022
Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

ConSERT Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Requirements torch==1.6.0

Yan Yuanmeng 478 Dec 25, 2022
Optimal space decomposition based-product quantization for approximate nearest neighbor search

Optimal space decomposition based-product quantization for approximate nearest neighbor search Abstract Product quantization(PQ) is an effective neare

Mylove 1 Nov 19, 2021
Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

Continual Learning Through Synaptic Intelligence This repository contains code to reproduce the key findings of our path integral approach to prevent

Ganguli Lab 82 Nov 03, 2022
Magisk module to enable hidden features on Android 12 Developer Preview 1.

Android 12 Extensions This is a Magisk module that enables hidden features on Android 12 Developer Preview 1. Features Scrolling screenshots Wallpaper

Danny Lin 384 Jan 06, 2023
an Evolutionary Algorithm assisted GAN

EvoGAN an Evolutionary Algorithm assisted GAN ckpts

3 Oct 09, 2022
The implementation of the lifelong infinite mixture model

Lifelong infinite mixture model 📋 This is the implementation of the Lifelong infinite mixture model 📋 Accepted by ICCV 2021 Title : Lifelong Infinit

Fei Ye 5 Oct 20, 2022
Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks

Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks Setup This implementation is based on PyTorch = 1.0.0. Smal

Weilin Cong 8 Oct 28, 2022
PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds

PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the

Philip Huang 270 Dec 14, 2022
MLOps will help you to understand how to build a Continuous Integration and Continuous Delivery pipeline for an ML/AI project.

page_type languages products description sample python azure azure-machine-learning-service azure-devops Code which demonstrates how to set up and ope

1 Nov 01, 2021
Research Artifact of USENIX Security 2022 Paper: Automated Side Channel Analysis of Media Software with Manifold Learning

Manifold-SCA Research Artifact of USENIX Security 2022 Paper: Automated Side Channel Analysis of Media Software with Manifold Learning The repo is org

Yuanyuan Yuan 172 Dec 29, 2022
CVPR 2021 - Official code repository for the paper: On Self-Contact and Human Pose.

selfcontact This repo is part of our project: On Self-Contact and Human Pose. [Project Page] [Paper] [MPI Project Page] It includes the main function

Lea Müller 68 Dec 06, 2022