IdeaVault
learning_methods
test_time
1. Test-time training with self-supervision for generalization under distribution shifts
2. Test-time training for out-of-distribution generalization
3. Test-time training with masked autoencoders
4. Fully Test-time Adaptation for Object Detection
5. MonoTTA - Fully test-time adaptation for monocular 3d object detection
6. Ev-TTA - Test-time adaptation for event-based object recognition
7. Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection
8. Weakly Supervised Test-Time Domain Adaptation for Object Detection
9. Contrastive Test-Time Adaptation
10. Improved Test-Time Adaptation for Domain Generalization
11. A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts
index
index

Summary

1-Line

ITTA(Improved Test-Time Adaptation)를 통해 도메인 제너럴라이제이션 성능을 향상시키는 방법을 제안

3-Line

5-Line

Paper Review

Abstract / Motivation

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Background

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Targeting Problems

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Suggestions / Methods

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Table Of Contents
Summary
1-Line
3-Line
5-Line
Paper Review
Abstract / Motivation
Background
Targeting Problems
Suggestions / Methods