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Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
9 February 2015
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
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Papers citing
"Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation"
49 / 399 papers shown
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Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data
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Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
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Trevor Darrell
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Diverse Sampling for Self-Supervised Learning of Semantic Segmentation
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Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
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CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
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A Holistic Approach for Data-Driven Object Cutout
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Multi-stage Object Detection with Group Recursive Learning
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Xiaodan Liang
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Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
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Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
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Weakly-Supervised Semantic Segmentation using Motion Cues
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Higher Order Conditional Random Fields in Deep Neural Networks
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Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
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Alan Yuille
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Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
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255
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Joint Calibration for Semantic Segmentation
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J. Uijlings
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385
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Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
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