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Weakly-Supervised Semantic Segmentation

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.

( Image credit: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing )

Papers

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Showing 201–225 of 296 papers

TitleStatusHype
Weakly-Supervised Semantic Segmentation using Motion Cues—0
Weakly Supervised Semantic Segmentation using Web-Crawled Videos—0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
3D Guided Weakly Supervised Semantic Segmentation—0
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets—0
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching—0
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps—0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation—0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation—0
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation—0
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation—0
Webly Supervised Semantic Segmentation—0
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation—0
Semantic Component Analysis—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network—0
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation—0
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network—0
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation—0
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation—0
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images—0
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation—0
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