Fast Object Class Labelling via Speech

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2019.00551 ◽

2019 ◽

Cited By ~ 2

Author(s):

Michael Gygli ◽

Vittorio Ferrari

Keyword(s):

Object Class ◽

Class Labelling

Download Full-text

Meta-Classifier Based on Boosted Approach for Object Class Recognition

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v9i9.3058 ◽

2014 ◽

Vol 9 (9) ◽

pp. 1590

Author(s):

Noridayu Manshor ◽

Amir Rizaan Abdul Rahiman ◽

Raja Azlina Raja Mahmood

Keyword(s):

Object Class ◽

Object Class Recognition

Download Full-text

Object Class or Association Class? Testing the User Effect on Cardinality Interpretation

Perspectives in Conceptual Modeling - Lecture Notes in Computer Science ◽

10.1007/11568346_5 ◽

2005 ◽

pp. 33-42 ◽

Cited By ~ 5

Author(s):

Geert Poels ◽

Frederik Gailly ◽

Ann Maes ◽

Roland Paemeleire

Keyword(s):

Object Class ◽

Class Testing ◽

Association Class

Download Full-text

Pixelwise object class segmentation based on synthetic data using an optimized training strategy

2014 First International Conference on Networks & Soft Computing (ICNSC2014) ◽

10.1109/cnsc.2014.6906671 ◽

2014 ◽

Cited By ~ 7

Author(s):

Frank Dittrich ◽

Heinz Woern ◽

Vivek Sharma ◽

Sule Yayilgan

Keyword(s):

Synthetic Data ◽

Object Class ◽

Training Strategy ◽

Object Class Segmentation ◽

Class Segmentation

Download Full-text

Object class segmentation of massive 3D point clouds of urban areas using point cloud topology

International Journal of Remote Sensing ◽

10.1080/01431161.2013.838710 ◽

2013 ◽

Vol 34 (23) ◽

pp. 8408-8424 ◽

Cited By ~ 20

Author(s):

Rico Richter ◽

Markus Behrens ◽

Jürgen Döllner

Keyword(s):

Urban Areas ◽

Point Cloud ◽

Point Clouds ◽

Object Class ◽

3D Point Clouds ◽

Object Class Segmentation ◽

Class Segmentation

Download Full-text

End-to-End Training of Object Class Detectors for Mean Average Precision

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54193-8_13 ◽

2017 ◽

pp. 198-213 ◽

Cited By ~ 8

Author(s):

Paul Henderson ◽

Vittorio Ferrari

Keyword(s):

Mean Average Precision ◽

Object Class ◽

Average Precision ◽

End To End

Download Full-text

What Visual Attributes Characterize an Object Class?

Computer Vision -- ACCV 2014 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-16865-4_16 ◽

2015 ◽

pp. 243-259 ◽

Cited By ~ 1

Author(s):

Jianlong Fu ◽

Jinqiao Wang ◽

Xin-Jing Wang ◽

Yong Rui ◽

Hanqing Lu

Keyword(s):

Object Class ◽

Visual Attributes

Download Full-text

Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2014.2353617 ◽

2015 ◽

Vol 37 (4) ◽

pp. 862-875 ◽

Cited By ~ 46

Author(s):

Jun-Yan Zhu ◽

Jiajun Wu ◽

Yan Xu ◽

Eric Chang ◽

Zhuowen Tu

Keyword(s):

Object Class ◽

Class Discovery ◽

Multiple Class

Download Full-text

Object Class Recognition in Mobile Urban Lidar Data Using Global Shape Descriptors

2013 International Conference on 3D Vision ◽

10.1109/3dv.2013.53 ◽

2013 ◽

Cited By ~ 3

Author(s):

Salar Awan ◽

Mustafa Muhamad ◽

Kresimir Kusevic ◽

Paul Mrstik ◽

Michael Greenspan

Keyword(s):

Lidar Data ◽

Shape Descriptors ◽

Object Class ◽

Global Shape ◽

Object Class Recognition

Download Full-text

Detecting temporally consistent objects in videos through object class label propagation

2016 IEEE Winter Conference on Applications of Computer Vision (WACV) ◽

10.1109/wacv.2016.7477702 ◽

2016 ◽

Cited By ~ 8

Author(s):

Subarna Tripathi ◽

Serge Belongie ◽

Youngbae Hwang ◽

Truong Nguyen

Keyword(s):

Label Propagation ◽

Object Class ◽

Class Label

Download Full-text

Development of hardware-software complex for adaptive sorting of solid domestic waste

10.21203/rs.3.rs-250347/v1 ◽

2021 ◽

Author(s):

Kirilenko Vladimir

Keyword(s):

Autonomous System ◽

Object Class ◽

Domestic Waste ◽

Solid Domestic Waste ◽

Software Complex ◽

Specific Object ◽

Adaptive Sorting

Abstract This project presents an autonomous system that allows to classify various solid garbage as well as to control a manipulator-sorter of the waste. Sorting is performed on the basis of material, shape, or specific object class. The development was focused on the system adaptability and acceleration of training, which allows the system to adapt changes in incoming waste.

Download Full-text