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Semi-Supervised Image Classification

41 papers with code · 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 with code

Big Self-Supervised Models are Strong Semi-Supervised Learners

17 Jun 2020google-research/simclr

The proposed semi-supervised learning algorithm can be summarized in three steps: unsupervised pretraining of a big ResNet model using SimCLRv2 (a modification of SimCLR), supervised fine-tuning on a few labeled examples, and distillation with unlabeled examples for refining and transferring the task-specific knowledge.

SELF-SUPERVISED IMAGE CLASSIFICATION SEMI-SUPERVISED IMAGE CLASSIFICATION

1,019
17 Jun 2020

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

13 Jun 2020lucidrains/byol-pytorch

From an augmented view of an image, we train the online network to predict the target network representation of the same image under a different augmented view.

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

166
13 Jun 2020
242
25 May 2020

Milking CowMask for Semi-Supervised Image Classification

26 Mar 2020google-research/google-research

Using it to provide perturbations for semi-supervised consistency regularization, we achieve a state-of-the-art result on ImageNet with 10% labeled data, with a top-5 error of 8. 76% and top-1 error of 26. 06%.

SEMI-SUPERVISED IMAGE CLASSIFICATION

11,374
26 Mar 2020

Subspace Capsule Network

7 Feb 2020MarziEd/SubSpace-Capsule-Network

In this paper, we propose the SubSpace Capsule Network (SCN) that exploits the idea of capsule networks to model possible variations in the appearance or implicitly defined properties of an entity through a group of capsule subspaces instead of simply grouping neurons to create capsules.

IMAGE GENERATION SEMI-SUPERVISED IMAGE CLASSIFICATION

12
07 Feb 2020

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

21 Jan 2020google-research/fixmatch

Semi-supervised learning (SSL) provides an effective means of leveraging unlabeled data to improve a model's performance.

SEMI-SUPERVISED IMAGE CLASSIFICATION

450
21 Jan 2020

batchboost: regularization for stabilizing training with resistance to underfitting & overfitting

21 Jan 2020maciejczyzewski/batchboost

Pairing stage calculates the error per sample, sorts the samples and pairs with strategy: hardest with easiest one, than mixing stage merges two samples using mixup, $x_1 + (1-\lambda)x_2$.

SEMI-SUPERVISED IMAGE CLASSIFICATION

45
21 Jan 2020

Semi-Supervised Learning with Normalizing Flows

ICLR 2020 izmailovpavel/flowgmm

Normalizing flows transform a latent distribution through an invertible neural network for a flexible and pleasingly simple approach to generative modelling, while preserving an exact likelihood.

SEMI-SUPERVISED IMAGE CLASSIFICATION

39
30 Dec 2019

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

CVPR 2020 Na-Z/sess

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

40
26 Dec 2019