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Scene Parsing

27 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.

Ranked #3 on Semantic Segmentation on PASCAL VOC 2012 test (using extra training data)

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

Semantic Flow for Fast and Accurate Scene Parsing

24 Feb 2020donnyyou/torchcv

A common practice to improve the performance is to attain high resolution feature maps with strong semantic representation.

OPTICAL FLOW ESTIMATION SCENE PARSING

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 2018openseg-group/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/semseg

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

CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

CVPR 2020 hkchengrex/CascadePSP

In this paper, we propose a novel approach to address the high-resolution segmentation problem without using any high-resolution training data.

SCENE PARSING SEMANTIC SEGMENTATION

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

CVPR 2020 Andrew-Qibin/SPNet

Spatial pooling has been proven highly effective in capturing long-range contextual information for pixel-wise prediction tasks, such as scene parsing.

SCENE PARSING