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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 151–200 of 296 papers

TitleStatusHype
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation—0
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference—0
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation—0
From Image-level to Pixel-level Labeling with Convolutional Networks—0
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues—0
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation—0
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation—0
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation—0
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images—0
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation—0
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image—0
Image Augmentation Agent for Weakly Supervised Semantic Segmentation—0
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation—0
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes—0
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization—0
Learning random-walk label propagation for weakly-supervised semantic segmentation—0
Learning Segmentation Masks with the Independence Prior—0
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation—0
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
Maximize the Exploration of Congeneric Semantics for 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
Movable-Object-Aware Visual SLAM via 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
Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation—0
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation—0
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation—0
Neural Diffusion Distance for Image Segmentation—0
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation—0
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach—0
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model—0
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation—0
P2Seg: Pointly-supervised Segmentation via Mutual Distillation—0
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision—0
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors—0
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds—0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class—0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation—0
Semantic Component Analysis—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
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation—0
Small Objects Matters in Weakly-supervised Semantic Segmentation—0
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