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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 201–250 of 296 papers

TitleStatusHype
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds—0
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid PoolingCode0
Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods—0
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation—0
Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation—0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation—0
MSG-SR-Net: A Weakly Supervised Network Integrating Multi-Scale Generation and Super-Pixel Refinement for Building Extraction from High-Resolution Remotely Sensed ImageriesCode0
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching—0
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation—0
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost—0
Inferring the Class Conditional Response Map for Weakly Supervised Semantic SegmentationCode0
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty—0
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation—0
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary—0
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke—0
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation—0
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation—0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Towards Single Stage Weakly Supervised Semantic SegmentationCode0
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps—0
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image—0
3D Guided Weakly Supervised Semantic Segmentation—0
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
Causal Intervention for Weakly-Supervised Semantic Segmentation—0
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation—0
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network—0
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation—0
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision—0
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation—0
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes—0
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class—0
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning—0
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsCode0
Neural Diffusion Distance for Image Segmentation—0
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation ApproachCode0
Self-Supervised Difference Detection for Weakly-Supervised Semantic SegmentationCode0
Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic SegmentationCode0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide ImagesCode0
Integral Object Mining via Online Attention AccumulationCode0
Attention Bridging Network for Knowledge Transfer—0
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets—0
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic SegmentationCode0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
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