MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation-Reference-Cited by-同舟云学术

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MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Miles Roy¹,Yucel Mehmet Kerim¹,Manganelli Bruno¹,Saà-Garriga Albert¹

Affiliation:

1. Samsung Research,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205233.pdf?arnumber=10205233

Reference71 articles.

1. Sstvos: Sparse spatiotem-poral transformers for video object segmentation;duke;CVPR,0

2. Efficient Regional Memory Network for Video Object Segmentation

3. SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

4. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time;wortsman;ICML,2022

5. Born Again Neural Networks;furlanello;ICML,2018

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1. Scalable Video Object Segmentation With Identification Mechanism;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

2. Structural Transformer with Region Strip Attention for Video Object Segmentation;Neurocomputing;2024-09

3. DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

4. RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models;Knowledge-Based Systems;2024-06

5. Strengthening attention: knowledge distillation via cross-layer feature fusion for image classification;International Journal of Multimedia Information Retrieval;2024-05-02

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