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Scene Parsing

18 papers with code · Computer Vision

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Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

NeurIPS 2018 tensorflow/models

Recent progress has demonstrated that such meta-learning methods may exceed scalable human-invented architectures on image classification tasks.

IMAGE CLASSIFICATION META-LEARNING SEMANTIC SEGMENTATION STREET SCENE PARSING

Semantic Understanding of Scenes through the ADE20K Dataset

18 Aug 2016CSAILVision/semantic-segmentation-pytorch

Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision.

SCENE PARSING SEMANTIC SEGMENTATION

SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications

25 Jul 2019PengyiZhang/SlimYOLOv3

Drones or general Unmanned Aerial Vehicles (UAVs), endowed with computer vision function by on-board cameras and embedded systems, have become popular in a wide range of applications.

REAL-TIME OBJECT DETECTION SCENE PARSING

OCNet: Object Context Network for Scene Parsing

4 Sep 2018PkuRainBow/OCNet.pytorch

Motivated by that the label of a pixel is the category of the object that the pixel belongs to, we introduce an \emph{object context pooling (OCP)} scheme, which represents each pixel by exploiting the set of pixels that belong to the same object category with such a pixel, and we call the set of pixels as object context.

SCENE PARSING SEMANTIC SEGMENTATION

PSANet: Point-wise Spatial Attention Network for Scene Parsing

ECCV 2018 hszhao/PSANet

We notice information flow in convolutional neural networks is restricted inside local neighborhood regions due to the physical design of convolutional filters, which limits the overall understanding of complex scenes.

SCENE PARSING SEMANTIC SEGMENTATION

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

ECCV 2018 thusiyuan/holistic_scene_parsing

We propose a computational framework to jointly parse a single RGB image and reconstruct a holistic 3D configuration composed by a set of CAD models using a stochastic grammar model.

3D OBJECT DETECTION OBJECT LOCALIZATION SCENE UNDERSTANDING SEMANTIC SEGMENTATION

DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map

CVPR 2018 pengwangucla/DeLS-3D

The uniqueness of our design is a sensor fusion scheme which integrates camera videos, motion sensors (GPS/IMU), and a 3D semantic map in order to achieve robustness and efficiency of the system.

AUTONOMOUS DRIVING POSE ESTIMATION SCENE PARSING SENSOR FUSION