Addressing Feature Suppression in Unsupervised Visual Representations-Reference-Cited by-同舟云学术

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Addressing Feature Suppression in Unsupervised Visual Representations

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Li Tianhong¹,Fan Lijie¹,Yuan Yuan¹,He Hao¹,Tian Yonglong¹,Feris Rogerio²,Indyk Piotr¹,Katabi Dina¹

Affiliation:

1. MIT CSAIL

2. MIT-IBM Watson AI Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030871.pdf?arnumber=10030871

Reference53 articles.

1. End-to-End Learning of Motion Representation for Video Understanding

2. Unsupervised Visual Representation Learning by Context Prediction

3. Learning Longterm Representations for Person Re-Identification Using Radio Signals

4. Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

5. Local Aggregation for Unsupervised Learning of Visual Embeddings

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2. Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning;Lecture Notes in Computer Science;2023

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