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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 276–296 of 296 papers

TitleStatusHype
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation—0
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization—0
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes—0
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation—0
Mitigating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation—0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference—0
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation—0
Image Augmentation Agent for Weakly Supervised Semantic Segmentation—0
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image—0
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods—0
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery—0
Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation—0
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images—0
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation—0
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