CSD: Consistency-based Semi-supervised learning for object Detection

Last update: Dec 15, 2022

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Overview

CSD: Consistency-based Semi-supervised learning for object Detection (NeurIPS 2019)

By Jisoo Jeong, Seungeui Lee, Jee-soo Kim, Nojun Kwak

Installation & Preparation

We experimented with CSD using the SSD pytorch framework. To use our model, complete the installation & preparation on the SSD pytorch homepage

prerequisites

Python 3.6
Pytorch 1.0.0

Supervised learning

python train_ssd.py

CSD training

python train_csd.py

Evaluation

python eval.py

Owner

GitHub Repository

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CSD: Consistency-based Semi-supervised learning for object Detection

Related tags

Overview

CSD: Consistency-based Semi-supervised learning for object Detection (NeurIPS 2019)

Installation & Preparation

prerequisites

Supervised learning

CSD training

Evaluation

Owner

Paper Code：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

🐸STT integration examples

Simple data balancing baselines for worst-group-accuracy benchmarks.

Vision-and-Language Navigation in Continuous Environments using Habitat

Real-Time Multi-Contact Model Predictive Control via ADMM

Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."

Graph Convolutional Networks in PyTorch

1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task

A Python library for unevenly-spaced time series analysis

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

A project to make Amazon Echo respond to sign language using your webcam

CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation (ACMMM'21 Oral Paper)

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

code for generating data set ES-ImageNet with corresponding training code

“英特尔创新大师杯”深度学习挑战赛赛道3：CCKS2021中文NLP地址相关性任务

[ICCV 2021] Official Tensorflow Implementation for "Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions"

HomoInterpGAN - Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation

MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

CSD: Consistency-based Semi-supervised learning for object Detection

Related tags

Overview

CSD: Consistency-based Semi-supervised learning for object Detection (NeurIPS 2019)

Installation & Preparation

prerequisites

Supervised learning

CSD training

Evaluation

Owner

Paper Code：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

🐸STT integration examples

Simple data balancing baselines for worst-group-accuracy benchmarks.

Vision-and-Language Navigation in Continuous Environments using Habitat

Real-Time Multi-Contact Model Predictive Control via ADMM

Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."

Graph Convolutional Networks in PyTorch

1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task

A Python library for unevenly-spaced time series analysis

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

A project to make Amazon Echo respond to sign language using your webcam

CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation (ACMMM'21 Oral Paper)

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

code for generating data set ES-ImageNet with corresponding training code

“英特尔创新大师杯”深度学习挑战赛 赛道3：CCKS2021中文NLP地址相关性任务

[ICCV 2021] Official Tensorflow Implementation for "Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions"

HomoInterpGAN - Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation

MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

“英特尔创新大师杯”深度学习挑战赛赛道3：CCKS2021中文NLP地址相关性任务