Scene Parsing
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Subtasks
Greatest papers with code
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.
#2 best model for
Semantic Segmentation
on PASCAL VOC 2012 test
IMAGE CLASSIFICATION META-LEARNING SEMANTIC SEGMENTATION STREET SCENE PARSING
Pyramid Scene Parsing Network
CVPR 2017
• tensorflow/models
•
Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.
LESION SEGMENTATION REAL-TIME SEMANTIC SEGMENTATION SCENE PARSING
Semantic Understanding of Scenes through the ADE20K Dataset
• CSAILVision/semantic-segmentation-pytorch
• 
Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision.
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
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.
OCNet: Object Context Network for Scene Parsing
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.
#11 best model for
Semantic Segmentation
on Cityscapes test
PSANet: Point-wise Spatial Attention Network for Scene Parsing
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.
#9 best model for
Semantic Segmentation
on ADE20K val
Panoptic Segmentation
We propose and study a task we name panoptic segmentation (PS).
#3 best model for
Panoptic Segmentation
on Cityscapes val
(using extra training data)
INSTANCE SEGMENTATION PANOPTIC SEGMENTATION SCENE PARSING SCENE SEGMENTATION
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
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
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
CVPR 2019
• zju-vipa/KamalEngine
•
In this paper, we investigate a novel deep-model reusing task.