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Semi-Supervised Semantic Segmentation

7 papers with code · Computer Vision

Semi-supervised semantic segmentation is the task of doing semantic segmentation in a semi-supervised way.

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Greatest papers with code

Fast Online Object Tracking and Segmentation: A Unifying Approach

CVPR 2019 foolwood/SiamMask

In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.

REAL-TIME VISUAL TRACKING SEMI-SUPERVISED SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VISUAL OBJECT TRACKING

Adversarial Learning for Semi-Supervised Semantic Segmentation

ICLR 2018 wasidennis/AdaptSegNet

We propose a method for semi-supervised semantic segmentation using an adversarial network.

SEMI-SUPERVISED SEMANTIC SEGMENTATION

Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

29 Oct 2018arnab39/FewShot_GAN-Unet3D

In addition, our work presents a comprehensive analysis of different GAN architectures for semi-supervised segmentation, showing recent techniques like feature matching to yield a higher performance than conventional adversarial training approaches.

3D MEDICAL IMAGING SEGMENTATION BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION FEW-SHOT IMAGE SEGMENTATION SEMI-SUPERVISED SEMANTIC SEGMENTATION

Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

NeurIPS 2015 HyeonwooNoh/caffe

We propose a novel deep neural network architecture for semi-supervised semantic segmentation using heterogeneous annotations.

SEMI-SUPERVISED SEMANTIC SEGMENTATION

Curriculum semi-supervised segmentation

10 Apr 2019LIVIAETS/semi_curriculum

This study investigates a curriculum-style strategy for semi-supervised CNN segmentation, which devises a regression network to learn image-level information such as the size of a target region.

SEMI-SUPERVISED SEMANTIC SEGMENTATION

Semi-Supervised Semantic Segmentation with High- and Low-level Consistency

15 Aug 2019sud0301/semisup-semseg

The ability to understand visual information from limited labeled data is an important aspect of machine learning.

SEMI-SUPERVISED SEMANTIC SEGMENTATION

Universal Semi-Supervised Semantic Segmentation

26 Nov 2018tarun005/USSS_ICCV19

In recent years, the need for semantic segmentation has arisen across several different applications and environments.

SEMI-SUPERVISED SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION