Browse > Computer Vision > Semantic Segmentation > Weakly-Supervised Semantic Segmentation

Weakly-Supervised Semantic Segmentation

13 papers with code · Computer Vision

The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-supervised setting, the dataset consists of images and corresponding annotations that are relatively easy to obtain, such as tags/labels of objects present in the image

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Latest papers with code

Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation

ICCV 2019 shimoda-uec/ssdd

In this paper, to make the most of such mapping functions, we assume that the results of the mapping function include noise, and we improve the accuracy by removing noise.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

5
04 Nov 2019

Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation

9 Sep 2019YudeWang/SSENet-pytorch

This regularized CAM can be embedded in most recent advanced weakly supervised semantic segmentation framework.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

39
09 Sep 2019

Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations

CVPR 2019 jiwoon-ahn/irn

For generating the pseudo labels, we first identify confident seed areas of object classes from attention maps of an image classification model, and propagate them to discover the entire instance areas with accurate boundaries.

IMAGE CLASSIFICATION INSTANCE SEGMENTATION WEAKLY-SUPERVISED INSTANCE SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

152
01 Jun 2019

Weakly- and Semi-Supervised Panoptic Segmentation

ECCV 2018 qizhuli/Weakly-Supervised-Panoptic-Segmentation

We present a weakly supervised model that jointly performs both semantic- and instance-segmentation -- a particularly relevant problem given the substantial cost of obtaining pixel-perfect annotation for these tasks.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION WEAKLY-SUPERVISED INSTANCE SEGMENTATION WEAKLY-SUPERVISED PANOPTIC SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

120
10 Aug 2018

Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation

24 Jul 2018briqr/CSPN

Weakly supervised semantic segmentation has been a subject of increased interest due to the scarcity of fully annotated images.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

11
24 Jul 2018

Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing

CVPR 2018 speedinghzl/DSRG

Inspired by the traditional image segmentation methods of seeded region growing, we propose to train a semantic segmentation network starting from the discriminative regions and progressively increase the pixel-level supervision using by seeded region growing.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

153
01 Jun 2018

Constrained-CNN losses for weakly supervised segmentation

12 May 2018meng-tang/rloss

To the best of our knowledge, the method of [Pathak et al., 2015] is the only prior work that addresses deep CNNs with linear constraints in weakly supervised segmentation.

MEDICAL IMAGE SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

90
12 May 2018

Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation

13 Apr 2018gramuah/weakly-supervised-segmentation

Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

5
13 Apr 2018

Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation

18 Jul 2017arslan-chaudhry/dcsp_segmentation

We propose an approach to discover class-specific pixels for the weakly-supervised semantic segmentation task.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

31
18 Jul 2017