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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 101–150 of 296 papers

TitleStatusHype
Hierarchical Semantic Contrast for Weakly Supervised Semantic SegmentationCode1
Non-Salient Region Object Mining for Weakly Supervised Semantic SegmentationCode1
Background Activation Suppression for Weakly Supervised Object Localization and Semantic SegmentationCode1
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification LabelsCode1
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic SegmentationCode1
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional NetworksCode1
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
Multi-class Token Transformer for Weakly Supervised Semantic SegmentationCode1
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic SegmentationCode1
Modeling the Background for Incremental and Weakly-Supervised Semantic SegmentationCode1
Mining Discriminative Food Regions for Accurate Food RecognitionCode1
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region GrowingCode0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsCode0
Importance Sampling CAMs for Weakly-Supervised SegmentationCode0
All-pairs Consistency Learning for Weakly Supervised Semantic SegmentationCode0
A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT SegmentationCode0
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic SegmentationCode0
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging SystemsCode0
Bootstrapping the Performance of Webly Supervised Semantic SegmentationCode0
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical ImagesCode0
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic SegmentationCode0
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised ApplicationsCode0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic SegmentationCode0
Clustering-Guided Class Activation for Weakly Supervised Semantic SegmentationCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Constrained-CNN losses for weakly supervised segmentationCode0
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic SegmentationCode0
Coupling Global Context and Local Contents for Weakly-Supervised Semantic SegmentationCode0
Discovering Class-Specific Pixels for Weakly-Supervised Semantic SegmentationCode0
DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation MapsCode0
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic SegmentationCode0
FFR: Frequency Feature Rectification for Weakly Supervised Semantic SegmentationCode0
Fine-grained Background Representation for Weakly Supervised Semantic SegmentationCode0
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion ModelsCode0
Fully Convolutional Multi-Class Multiple Instance LearningCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide ImagesCode0
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency RegularizationCode0
Inferring the Class Conditional Response Map for Weakly Supervised Semantic SegmentationCode0
Integral Object Mining via Online Attention AccumulationCode0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic SegmentationCode0
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic SegmentationCode0
Masked Collaborative Contrast for Weakly Supervised Semantic SegmentationCode0
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic SegmentationCode0
MSG-SR-Net: A Weakly Supervised Network Integrating Multi-Scale Generation and Super-Pixel Refinement for Building Extraction from High-Resolution Remotely Sensed ImageriesCode0
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