Back to search

Material recognition in the wild with the Materials in Context Database

Data up to Jan 2025

Published2014
Citations20
References28

Total Citations Per Year

Abstract

References (28)

Very Deep Convolutional Networks for Large-Scale Image Recognition

2014 • 71,320 citations

ImageNet Large Scale Visual Recognition Challenge

2015 • 36,540 citations

Visualizing and Understanding Convolutional Networks

2014 • 14,349 citations

Backpropagation Applied to Handwritten Zip Code Recognition

1989 • 10,538 citations

Caffe: Convolutional Architecture for Fast Feature Embedding

2014 • 4,386 citations

LabelMe: A Database and Web-Based Tool for Image Annotation

2007 • 3,573 citations

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

2014 • 3,556 citations

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

2014 • 3,129 citations

Learning Hierarchical Features for Scene Labeling

2012 • 2,664 citations

Learning Deep Features for Scene Recognition using Places Database

2014 • 2,607 citations

Describing Textures in the Wild

2014 • 1,639 citations

Untitled

2001 • 1,507 citations

Going Deeper with Convolutions

2014 • 1,451 citations

A Statistical Approach to Texture Classification from Single Images

2005 • 1,153 citations

Decomposing a scene into geometric and semantically consistent regions

2009 • 693 citations

Rich feature hierarchies for accurate object detection and semantic segmentation

2013 • 578 citations

The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding

2014 • 398 citations

SUN Database: Exploring a Large Collection of Scene Categories

2014 • 306 citations

Material perception: What can you see in a brief glance?

2010 • 303 citations

Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern

2014 • 280 citations

Exploring features in a Bayesian framework for material recognition

2010 • 247 citations

OpenSurfaces

2013 • 205 citations

Recognizing Materials Using Perceptually Inspired Features

2013 • 174 citations

Toward Robust Material Recognition for Everyday Objects

2011 • 94 citations

Dense Semantic Image Segmentation with Objects and Attributes

2014 • 70 citations

Visual Material Traits: Recognizing Per-Pixel Material Context

2013 • 55 citations

Recognizing Materials from Virtual Examples

2012 • 53 citations

A Training-free Classification Framework for Textures, Writers, and Materials

2012 • 42 citations

Cited By (0)

No citing papers found in database

Material recognition in the wild with the Materials in Context Database (2014) – arXiv (Cornell University) | Metascience Observatory Explorer