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Semantic Segmentation

476 papers with code ยท 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

Human vs Machine Attention in Neural Networks: A Comparative Study

20 Jun 2019

Inspired by the selective attention in the visual cortex, artificial attention is designed to focus a neural network on the most task-relevant input signal.

FINE-GRAINED IMAGE CLASSIFICATION SEMANTIC SEGMENTATION ZERO-SHOT ACTION RECOGNITION

3D Instance Segmentation via Multi-task Metric Learning

20 Jun 2019

The second goal is to learn instance information by estimating directional information of the instances' centers of mass densely for each voxel.

3D INSTANCE SEGMENTATION 3D RECONSTRUCTION METRIC LEARNING MULTI-TASK LEARNING SEMANTIC SEGMENTATION

PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds

20 Jun 2019

Second, to accurately extract trees from all point clouds, we propose a 3D deep learning network, PointNLM, to semantically segment tree crowns.

SEMANTIC SEGMENTATION

Automated crater shape retrieval using weakly-supervised deep learning

20 Jun 2019

Manual validation of a subset of these craters indicates that a majority of them are real, which we take as an indicator of the strength of our model in learning to identify craters, despite incomplete training data.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Learning to Reconstruct and Understand Indoor Scenes from Sparse Views

19 Jun 2019

This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes.

3D RECONSTRUCTION DEPTH ESTIMATION SEMANTIC SEGMENTATION

Active Scene Understanding via Online Semantic Reconstruction

18 Jun 2019

In our method, the exploratory robot scanning is both driven by and targeting at the recognition and segmentation of semantic objects from the scene.

SCENE UNDERSTANDING SEMANTIC SEGMENTATION

Key Instance Selection for Unsupervised Video Object Segmentation

18 Jun 2019

After M-th frame, we select K IDs based on video saliency and frequency of appearance; then only these key IDs are tracked through the remaining frames.

SEMANTIC SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

18 Jun 2019

The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from multi-sensor remote sensing imagery.

SCENE CLASSIFICATION SEMANTIC SEGMENTATION