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pro vyhledávání: '"Azimi, Fatemeh"'
In this work, we study self-supervised multiple object tracking without using any video-level association labels. We propose to cast the problem of multiple object tracking as learning the frame-wise associations between detections in consecutive fra
Externí odkaz:
http://arxiv.org/abs/2305.09981
Publikováno v:
In Food Chemistry: X 30 December 2024 24
Autor:
Azimi, Fatemeh, Nies, Jean-Francois Jacques Nicolas, Palacio, Sebastian, Raue, Federico, Hees, Jörn, Dengel, Andreas
Curriculum learning is a bio-inspired training technique that is widely adopted to machine learning for improved optimization and better training of neural networks regarding the convergence rate or obtained accuracy. The main concept in curriculum l
Externí odkaz:
http://arxiv.org/abs/2108.09696
Spatial Transformer Networks (STN) can generate geometric transformations which modify input images to improve the classifier's performance. In this work, we combine the idea of STN with Reinforcement Learning (RL). To this end, we break the affine t
Externí odkaz:
http://arxiv.org/abs/2106.14295
Automated Crop Residue Estimation via Unsupervised Techniques Using High-Resolution UAS RGB Imagery.
Autor:
Azimi, Fatemeh1 (AUTHOR) fazimi@purdue.edu, Jung, Jinha1 (AUTHOR) jinha@purdue.edu
Publikováno v:
Remote Sensing. Apr2024, Vol. 16 Issue 7, p1135. 23p.
One-shot Video Object Segmentation~(VOS) is the task of pixel-wise tracking an object of interest within a video sequence, where the segmentation mask of the first frame is given at inference time. In recent years, Recurrent Neural Networks~(RNNs) ha
Externí odkaz:
http://arxiv.org/abs/2010.05069
Autor:
Azimi, Fatemeh, Bischke, Benjamin, Palacio, Sebastian, Raue, Federico, Hees, Joern, Dengel, Andreas
Video Object Segmentation (VOS) is an active research area of the visual domain. One of its fundamental sub-tasks is semi-supervised / one-shot learning: given only the segmentation mask for the first frame, the task is to provide pixel-accurate mask
Externí odkaz:
http://arxiv.org/abs/2004.12170
Akademický článek
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Akademický článek
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Autor:
Abbasi, Shokoufeh, Amini, Masoud, Vahdat, Sahar, Aminorroaya, Ashraf, Mortazavi, Mojgan, Azimi, Fatemeh
Publikováno v:
Jundishapur Journal of Chronic Disease Care (JJCDC); Oct2024, Vol. 13 Issue 4, p1-7, 7p