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Semi-Supervised Image Classification

41 papers with code ยท Computer Vision

Semi-supervised image classification leverages unlabelled data as well as labelled data to increase classification performance.

You may want to read some blog posts to get an overview before reading the papers and checking the leaderboard:

( Image credit: Self-Supervised Semi-Supervised Learning )

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Latest papers without code

Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification

8 Jul 2020

Our experiments show that this new composite consistency regularization based semi-GAN significantly improves its performance and achieves new state-of-the-art performance among GAN-based SSL approaches.

SEMI-SUPERVISED IMAGE CLASSIFICATION

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

17 Jun 2020

In addition, we also propose a new data augmentation strategy, multi-crop, that uses a mix of views with different resolutions in place of two full-resolution views, without increasing the memory or compute requirements much.

CONTRASTIVE LEARNING DATA AUGMENTATION SELF-SUPERVISED IMAGE CLASSIFICATION SEMI-SUPERVISED IMAGE CLASSIFICATION

SESS: Self-Ensembling Semi-Supervised 3D Object Detection

CVPR 2020

The performance of existing point cloud-based 3D object detection methods heavily relies on large-scale high-quality 3D annotations.

3D OBJECT DETECTION SEMI-SUPERVISED IMAGE CLASSIFICATION

Prototypical Contrastive Learning of Unsupervised Representations

11 May 2020

This paper presents Prototypical Contrastive Learning (PCL), an unsupervised representation learning method that addresses the fundamental limitations of instance-wise contrastive learning.

CONTRASTIVE LEARNING SELF-SUPERVISED IMAGE CLASSIFICATION SEMI-SUPERVISED IMAGE CLASSIFICATION UNSUPERVISED REPRESENTATION LEARNING

Data-Efficient Image Recognition with Contrastive Predictive Coding

ICLR 2020

Human observers can learn to recognize new categories of objects from a handful of examples, yet doing so with machine perception remains an open challenge.

OBJECT DETECTION SELF-SUPERVISED IMAGE CLASSIFICATION SEMI-SUPERVISED IMAGE CLASSIFICATION

Adversarial Transformations for Semi-Supervised Learning

13 Nov 2019

We propose a Regularization framework based on Adversarial Transformations (RAT) for semi-supervised learning.

SEMI-SUPERVISED IMAGE CLASSIFICATION

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation

1 Aug 2019

To learn target discriminative representations, using pseudo-labels is a simple yet effective approach for unsupervised domain adaptation.

SEMI-SUPERVISED IMAGE CLASSIFICATION UNSUPERVISED DOMAIN ADAPTATION

Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification

12 Jun 2019

We then show that when combined with these regularizers, the proposed method facilitates the propagation of information from generated prototypes to image data to further improve results.

SEMI-SUPERVISED IMAGE CLASSIFICATION