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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 226–250 of 296 papers

TitleStatusHype
LID 2020: The Learning from Imperfect Data Challenge Results—0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
Causal Intervention for Weakly-Supervised Semantic Segmentation—0
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation—0
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network—0
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation—0
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision—0
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation—0
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes—0
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class—0
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning—0
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsCode0
Neural Diffusion Distance for Image Segmentation—0
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation ApproachCode0
Self-Supervised Difference Detection for Weakly-Supervised Semantic SegmentationCode0
Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic SegmentationCode0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide ImagesCode0
Integral Object Mining via Online Attention AccumulationCode0
Attention Bridging Network for Knowledge Transfer—0
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets—0
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic SegmentationCode0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
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