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Semantic Segmentation

416 papers with code · Computer Vision

The idea of semantic segmentation is to recognize and understand what is in an image at the pixel-level.

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Latest papers without code

Harvesting Information from Captions for Weakly Supervised Semantic Segmentation

16 May 2019Johann Sawatzky et al

They do not require additional curation as it is the case for the clean class tags used by current weakly supervised approaches and they provide textual context for the classes present in an image.

IMAGE CAPTIONING WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

16 May 2019

Online Normalization for Training Neural Networks

15 May 2019Vitaliy Chiley et al

Online Normalization is a new technique for normalizing the hidden activations of a neural network.

IMAGE CLASSIFICATION LANGUAGE MODELLING SEMANTIC SEGMENTATION

15 May 2019

DARNet: Deep Active Ray Network for Building Segmentation

15 May 2019Dominic Cheng et al

In this paper, we propose a Deep Active Ray Network (DARNet) for automatic building segmentation.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

15 May 2019

Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images

14 May 2019Ivan Krešo et al

Recent progress of deep image classification models has provided great potential to improve state-of-the-art performance in related computer vision tasks.

IMAGE CLASSIFICATION SEMANTIC SEGMENTATION

14 May 2019

Budget-aware Semi-Supervised Semantic and Instance Segmentation

14 May 2019Miriam Bellver et al

Methods that move towards less supervised scenarios are key for image segmentation, as dense labels demand significant human intervention.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

14 May 2019

Video Instance Segmentation

12 May 2019Linjie Yang et al

The goal of this new task is simultaneous detection, segmentation and tracking of instances in videos.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION VIDEO UNDERSTANDING

12 May 2019

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

12 May 2019Mengtian Li et al

We also revisit existing approaches for fast convergence, and show that budget-aware learning schedules readily outperform such approaches under (the practical but under-explored) budgeted setting.

ARCHITECTURE SEARCH IMAGE CLASSIFICATION INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION VIDEO CLASSIFICATION

12 May 2019

Style transfer based data augmentation in material microscopic image processing

12 May 2019Boyuan Ma et al

We validate the presented approach by using real image data from experiment and simulated image data from Monte Carlo Potts Models, which simulate the growth of polycrystal.

SEMANTIC SEGMENTATION STYLE TRANSFER

12 May 2019

EdgeSegNet: A Compact Network for Semantic Segmentation

10 May 2019Zhong Qiu Lin et al

In this study, we introduce EdgeSegNet, a compact deep convolutional neural network for the task of semantic segmentation.

SEMANTIC SEGMENTATION

10 May 2019

T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography

10 May 2019Tae Joon Jun et al

As a result, all features from the low-level to the high-level extracted from the encoder are delivered from the beginning of the decoder to predict a more accurate mask.

MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

10 May 2019