Our results support the assertion that neither approach alone will be sufficient for large scale object recognition, and we discuss techniques for combining the strengths of generative and discriminative approaches. Documents: Advanced Search Include Citations. Authors: Advanced Search Include Citations.
The Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery link to paper. In this part of our working group site you will get furthe The Stanford Background Dataset is a new dataset introduced in Gould et al.
ICCV for evaluating methods for geometric and semantic scene understa Aiguille du Midi. France showing photographs with Camera: Mamiya ZD. The Geosemantic is a dataset of object locations from GIS and a query image with metadata. It is used to project the buildings and streets that are in t The KTH Multiview Football dataset contains images of football players includes images taken from 3 views at time instances 14 annotated body jo The Microsoft COCO mscoco is an image recognition and segmentation dataset which contains more k images for more than 70 categories.
Other featur The Make3D Depth dataset s designed to learn features to estimate scene depth from a single image. This dataset contains aligned image and range data It contains over , images along with a rich v The Zurich Summer v1. This repository contains labeled 3-D point cloud laser data collected from a moving platform in a urban environment. Data are provided for research purp The Yotta dataset consists of 70 images for semantic labeling given in 11 classes.
It also contains multiple videos and camera matrices for 14km or driv The dataset is more challengin These annotations can be used for scene understanding tasks l Services Contribute Login Signup. Overview Discussion 2. Show more Show less. Tags semantic segmentation semantic outdoor. Discussion Dataset Licensing information Quality of Dataset. LabelMe The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research.
ECP Paris The Ecole Centrale Paris Paris dataset consists of 30 images of densely annotated building facades in seven classes - wall, window, sky, sho Kohli A. Criminisi A. Kipman A. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in to check access. Bregler C, Malik J Tracking people with twists and exponential maps. Comaniciu D, Meer P Mean shift: a robust approach toward feature space analysis. Springer, Berlin Google Scholar. Criminisi A, Shotton J, Konukoglu E Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning.
Math Intell 27 2 Google Scholar. Siddiqui M, Medioni G Human pose estimation from a single view point, real-time range sensor. Urtasun R, Darrell T Local probabilistic regression for activity-independent human pose inference. Vitter JS Random sampling with a reservoir. Winn J, Shotton J The layout consistent random field for recognizing and segmenting partially occluded objects.
Zhu Y, Fujimura K Constrained optimization for human pose estimation from depth sequences. Shotton 1 R. Girshick 2 A.
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