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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
Weakly-Supervised Semantic Segmentation using Motion Cues—0
Weakly Supervised Semantic Segmentation using Web-Crawled Videos—0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
3D Guided Weakly Supervised Semantic Segmentation—0
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation—0
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets—0
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching—0
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps—0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation—0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation—0
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation—0
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation—0
Webly Supervised Semantic Segmentation—0
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation—0
Semantic Component Analysis—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—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
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation—0
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation—0
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images—0
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation—0
Small Objects Matters in Weakly-supervised Semantic Segmentation—0
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information—0
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation—0
WegFormer: Transformers for Weakly Supervised Semantic Segmentation—0
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation—0
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation—0
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost—0
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection—0
Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images—0
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma—0
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation—0
The effect of scene context on weakly supervised semantic segmentation—0
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation—0
CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics—0
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images—0
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation—0
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP—0
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models—0
Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation—0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
Causal Intervention for Weakly-Supervised Semantic Segmentation—0
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation—0
Two-Phase Learning for Weakly Supervised Object Localization—0
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation—0
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation—0
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