Scene Parsing

54 papers with code • 1 benchmarks • 3 datasets

This task has no description! Would you like to contribute one?

Greatest papers with code

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

tensorflow/models NeurIPS 2018

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

Image Classification Meta-Learning +2

Semantic Understanding of Scenes through the ADE20K Dataset

CSAILVision/semantic-segmentation-pytorch 18 Aug 2016

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

GINet: Graph Interaction Network for Scene Parsing

PaddlePaddle/PaddleSeg ECCV 2020

GI unit is further improved by the SC-loss to enhance the semantic representations over the exemplar-based semantic graph.

Scene Parsing

Semantic Flow for Fast and Accurate Scene Parsing

PaddlePaddle/PaddleSeg ECCV 2020

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

Optical Flow Estimation Real-Time Semantic Segmentation +1

OCNet: Object Context Network for Scene Parsing

open-mmlab/mmsegmentation 4 Sep 2018

To capture richer context information, we further combine our interlaced sparse self-attention scheme with the conventional multi-scale context schemes including pyramid pooling~\citep{zhao2017pyramid} and atrous spatial pyramid pooling~\citep{chen2018deeplab}.

Scene Parsing Semantic Segmentation

PSANet: Point-wise Spatial Attention Network for Scene Parsing

open-mmlab/mmsegmentation ECCV 2018

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

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

PengyiZhang/SlimYOLOv3 25 Jul 2019

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

Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs

MIT-SPARK/Kimera 18 Jan 2021

This mental model captures geometric and semantic aspects of the scene, describes the environment at multiple levels of abstractions (e. g., objects, rooms, buildings), includes static and dynamic entities and their relations (e. g., a person is in a room at a given time).

3D Reconstruction Object Localization +2

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

hkchengrex/CascadePSP CVPR 2020

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

 Ranked #1 on Semantic Segmentation on BIG (using extra training data)

Scene Parsing Semantic Segmentation