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Weakly-Supervised Semantic Segmentation

7 papers with code ยท 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 without code

Gated CRF Loss for Weakly Supervised Semantic Image Segmentation

11 Jun 2019

State-of-the-art approaches for semantic segmentation rely on deep convolutional neural networks trained on fully annotated datasets, that have been shown to be notoriously expensive to collect, both in terms of time and money.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation

9 Jun 2019

Moving objects can greatly jeopardize the performance of a visual simultaneous localization and mapping (vSLAM) system which relies on the static-world assumption.

SIMULTANEOUS LOCALIZATION AND MAPPING WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation

29 May 2019

Weakly-supervised semantic segmentation aims to assign each pixel a semantic category under weak supervisions, such as image-level tags.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Harvesting Information from Captions for Weakly Supervised Semantic Segmentation

16 May 2019

They do not require additional curation as it is the case for the clean class tags used by current weakly supervised approaches and they provide textual context for the classes present in an image.

IMAGE CAPTIONING WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Weakly Supervised Semantic Segmentation of Satellite Images

8 Apr 2019

When one wants to train a neural network to perform semantic segmentation, creating pixel-level annotations for each of the images in the database is a tedious task.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues

3 Apr 2019

This paper proposes a novel weakly-supervised semantic segmentation method using image-level label only.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

CVPR 2019

The main obstacle to weakly supervised semantic image segmentation is the difficulty of obtaining pixel-level information from coarse image-level annotations.

IMAGE CLASSIFICATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

The effect of scene context on weakly supervised semantic segmentation

12 Feb 2019

More specifically, some objects which are commonly seen in one specific scene (e. g. 'train' typically is seen on 'railroad track') are much more likely to be confused.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION