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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 1–50 of 296 papers

TitleStatusHype
SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver TumoursCode0
Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic SegmentationCode2
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic SegmentationCode0
DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation MapsCode0
Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images—0
Weakly Supervised Semantic Segmentation via Progressive Confidence Region ExpansionCode0
FFR: Frequency Feature Rectification for Weakly Supervised Semantic SegmentationCode0
Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation—0
POT: Prototypical Optimal Transport for Weakly Supervised Semantic SegmentationCode1
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency RegularizationCode0
Image Augmentation Agent for Weakly Supervised Semantic Segmentation—0
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP—0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic SegmentationCode1
Revisiting the Integration of Convolution and Attention for Vision BackboneCode1
A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT SegmentationCode0
Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation—0
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment AnythingCode1
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation—0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event CamerasCode1
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation—0
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic SegmentationCode1
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentationCode0
Fine-grained Background Representation for Weakly Supervised Semantic SegmentationCode0
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation—0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach—0
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information—0
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images—0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic SegmentationCode0
Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation—0
Rethinking Saliency-Guided Weakly-Supervised Semantic SegmentationCode0
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
Modeling the Label Distributions for Weakly-Supervised Semantic SegmentationCode2
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical LabelsCode2
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—0
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic SegmentationCode2
Weakly Supervised Co-training with Swapping Assignments for Semantic SegmentationCode1
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class LabelCode1
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images—0
0-1 laws for pattern occurrences in phylogenetic trees and networks—0
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation—0
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic SegmentationCode0
Semantic Prompt Learning for Weakly-Supervised Semantic SegmentationCode1
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