Weakly supervised object localization and segmentation in videos-Reference-Cited by-同舟云学术

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Weakly supervised object localization and segmentation in videos

Published:2016-12 Issue: Volume:56 Page:1-12
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Rochan Mrigank,Rahman Shafin,Bruce Neil D.B.,Wang Yang

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference42 articles.

1. Weakly supervised learning of object segmentations from web-scale video;Hartmann,2012

2. Modeling temporal structure of decomposable motion segments for activity classification;Niebles,2010

3. Learning object class detectors from weakly annotated video;Prest,2012

4. Learning latent temporal structure for complex event detection;Tang,2012

5. Discriminative Segment Annotation in Weakly Labeled Video;Tang,2013

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1. Feature disparity learning for weakly supervised object localization;Image and Vision Computing;2024-05

2. Salient-aware multiple instance learning optimized network for weakly supervised object detection;The Visual Computer;2024-01-18

3. An efficient weakly semi-supervised method for object automated annotation;Multimedia Tools and Applications;2023-06-17

4. TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

5. Complex Color Space Segmentation to Classify Objects in Urban Environments;Mathematics;2022-10-12

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