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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 51–100 of 296 papers

TitleStatusHype
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationCode1
SFC: Shared Feature Calibration in Weakly Supervised Semantic SegmentationCode1
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point CloudsCode1
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without TrainingCode1
Background Activation Suppression for Weakly Supervised Object Localization and Semantic SegmentationCode1
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic SegmentationCode1
Context Decoupling Augmentation for Weakly Supervised Semantic SegmentationCode1
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic SegmentationCode1
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationCode1
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic SegmentationCode1
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic SegmentationCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic SegmentationCode1
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation ProblemsCode1
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic SegmentationCode1
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentationCode1
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue GraphsCode1
Discriminative Region Suppression for Weakly-Supervised Semantic SegmentationCode1
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic SegmentationCode1
Boundary-Enhanced Co-Training for Weakly Supervised Semantic SegmentationCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic SegmentationCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentationCode1
Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic SegmentationCode1
Group-Wise Semantic Mining for Weakly Supervised Semantic SegmentationCode1
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment AnythingCode1
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance SegmentationCode1
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic SegmentationCode1
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic SegmentationCode1
Group-Wise Learning for Weakly Supervised Semantic SegmentationCode1
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology ImagesCode1
PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic SegmentationCode1
Modeling the Background for Incremental and Weakly-Supervised Semantic SegmentationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
Extracting Class Activation Maps from Non-Discriminative Features as wellCode1
Puzzle-CAM: Improved localization via matching partial and full featuresCode1
Hierarchical Semantic Contrast for Weakly Supervised Semantic SegmentationCode1
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage FrameworksCode1
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event CamerasCode1
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic SegmentationCode1
Class Re-Activation Maps for Weakly-Supervised Semantic SegmentationCode1
Foundation Model Assisted Weakly Supervised Semantic SegmentationCode1
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic SegmentationCode1
Class Tokens Infusion for Weakly Supervised Semantic SegmentationCode1
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic SegmentationCode1
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional NetworksCode1
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