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Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning

https://doi.org/10.1007/s11263-020-01293-3

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_23openalex-snapshot

Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-319-46478-7_34openalex-snapshot

What’s the Point: Semantic Segmentation with Point Supervision

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_25openalex-snapshot

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_6openalex-snapshot

Augmented Feedback in Semantic Segmentation Under Image Level Supervision

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_14openalex-snapshot

Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_42openalex-snapshot

Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-70139-4openalex-snapshot

Neural Information Processing

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1007/s11263-018-1140-0openalex-snapshot

Semantic Understanding of Scenes Through the ADE20K Dataset

inferredcites →https://doi.org/10.1023/b:visi.0000022288.19776.77openalex-snapshot

Efficient Graph-Based Image Segmentation

inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot

Normalized cuts and image segmentation

inferredcites →https://doi.org/10.1109/43.159993openalex-snapshot

New spectral methods for ratio cut partitioning and clustering

inferredcites →https://doi.org/10.1109/cvpr.2015.7298780openalex-snapshot

From image-level to pixel-level labeling with Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.26openalex-snapshot

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding

inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot

Learning Deep Features for Discriminative Localization

inferredcites →https://doi.org/10.1109/cvpr.2016.344openalex-snapshot

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.181openalex-snapshot

Simple Does It: Weakly Supervised Instance and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.650openalex-snapshot

Convolutional Random Walk Networks for Semantic Image Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-snapshot

Pyramid Scene Parsing Network

inferredcites →https://doi.org/10.1109/cvpr.2017.687openalex-snapshot

Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

inferredcites →https://doi.org/10.1109/cvpr.2017.770openalex-snapshot

Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2018.00147openalex-snapshot

Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features

inferredcites →https://doi.org/10.1109/cvpr.2018.00523openalex-snapshot

Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2018.00733openalex-snapshot

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

inferredcites →https://doi.org/10.1109/cvpr.2018.00759openalex-snapshot

Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00626openalex-snapshot

S4Net: Single Stage Salient-Instance Segmentation

inferredcites →https://doi.org/10.1109/iccv.2011.6126343openalex-snapshot

Semantic contours from inverse detectors

inferredcites →https://doi.org/10.1109/iccv.2015.191openalex-snapshot

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

inferredcites →https://doi.org/10.1109/iccv.2015.203openalex-snapshot

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

inferredcites →https://doi.org/10.1109/iccv.2015.209openalex-snapshot

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

inferredcites →https://doi.org/10.1109/tip.2017.2756825openalex-snapshot

Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection

inferredcites →https://doi.org/10.1109/tpami.2007.1177openalex-snapshot

A Closed-Form Solution to Natural Image Matting

inferredcites →https://doi.org/10.1109/tpami.2016.2636150openalex-snapshot

STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot

Caffe

inferredcites →https://doi.org/10.1364/josaa.4.002395openalex-snapshot

Predictability and redundancy of natural images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Cross Aggregation Network for Semantic Segmentation

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Knowledge Transfer with Simulated Inter-image Erasing for Weakly Supervised Semantic Segmentation

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Pairwise-Pixel Self-Supervised and Superpixel-Guided Prototype Contrastive Loss for Weakly Supervised Semantic Segmentation

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Weakly supervised fine-grained semantic segmentation via spatial correlation-guided learning

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Weakly supervised semantic segmentation by knowledge graph inference

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SSWS: An edge detection algorithm with strong semantics and high detectability for spacecraft

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FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells

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Synergy-driven multi-modal prompting for weakly supervised semantic segmentation

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Extracting Structured Supervision From Captions for Weakly Supervised Semantic Segmentation

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Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

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Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

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CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation

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Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation

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Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation

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Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

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ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps

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USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation

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