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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

Showing 176200 of 296 papers

TitleStatusHype
Reducing Information Bottleneck for Weakly Supervised Semantic SegmentationCode1
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty0
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation0
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary0
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke0
Pseudo-mask Matters in Weakly-supervised Semantic SegmentationCode1
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation0
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation0
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic SegmentationCode1
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds0
Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic SegmentationCode1
Towards Single Stage Weakly Supervised Semantic SegmentationCode0
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationCode1
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic SegmentationCode1
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive LearningCode1
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point CloudsCode1
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic SegmentationCode1
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional NetworksCode1
Non-Salient Region Object Mining for Weakly Supervised Semantic SegmentationCode1
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic SegmentationCode1
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationCode1
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