Papers

Perfect Match: Self-Supervised Embeddings for Cross-Modal Retrieval

International Journal
2016~2020
작성자
이진영
작성일
2020-03-01 22:17
조회
2895
Authors : Soo-Whan Chung, Joon Son Chung, Hong Goo Kang

Year : 2020

Publisher / Conference : IEEE Journal of Selected Topics in Signal Processing

Volume : 14, issue 3

This paper proposes a new strategy for learning effective cross-modal joint embeddings using self-supervision. We set up the problem as one of cross-modal retrieval, where the objective is to find the most relevant data in one domain given input in another. The method builds on the recent advances in learning representations from cross-modal self-supervision using contrastive or binary cross-entropy loss functions. To investigate the robustness of the proposed learning strategy across multi-modal applications, we perform experiments for two applications - audio-visual synchronisation and cross-modal biometrics. The audio-visual synchronisation task requires temporal correspondence between modalities to obtain joint representation of phonemes and visemes, and the cross-modal biometrics task requires common speakers representations given their face images and audio tracks. Experiments show that the performance of systems trained using proposed method far exceed that of existing methods on both tasks, whilst allowing significantly faster training.
전체 369
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295 Domestic Conference 임정운, 김지현, 강홍구 "메타러닝을 이용한 SAR 영상 자동표적 인식" in 한국항공우주학회 2020 춘계학술대회, pp.353-354, 2020
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292 International Journal Soo-Whan Chung, Joon Son Chung, Hong Goo Kang "Perfect Match: Self-Supervised Embeddings for Cross-Modal Retrieval" in IEEE Journal of Selected Topics in Signal Processing, vol.14, issue 3, 2020
291 International Conference Hyeonjoo Kang, Young-Sun Joo, Inseon Jang, Chunghyun Ahn, Hong-Goo Kang "A Study on Acoustic Parameter Selection Strategies to Improve Deep Learning-Based Speech Synthesis" in APSIPA, 2019
290 International Journal Ohsung Kwon, Inseon Jang, ChungHyun Ahn, Hong-Goo Kang "An Effective Style Token Weight Control Technique for End-to-End Emotional Speech Synthesis" in IEEE Signal Processing Letters, vol.26, issue 9, pp.1383-1387, 2019