Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
We present a new benchmark dataset, Sapsucker Woods 60 (SSW60), for advancing research on audiovisual fine-grained categorization. While our community has made great strides in fine-grained visual categorization on images, the counterparts in audio and video fine-grained categorization are relatively unexplored. To encourage advancements in this space, we have carefully constructed the SSW60 dataset to enable researchers to experiment with classifying the same set of categories in three different modalities: images, audio, and video. The dataset covers 60 species of birds and is comprised of images from existing datasets, and brand new, expert curated audio and video datasets. We thoroughly benchmark audiovisual classification performance and modality fusion experiments through the use of state-of-the-art transformer methods. Our findings show that performance of audiovisual fusion methods is better than using exclusively image or audio based methods for the task of video classification. We also present interesting modality transfer experiments, enabled by the unique construction of SSW60 to encompass three different modalities. We hope the SSW60 dataset and accompanying baselines spur research in this fascinating area.
Original language | English |
---|---|
Title of host publication | Computer Vision – ECCV 2022 : 17th European Conference, Proceedings |
Editors | Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner |
Number of pages | 19 |
Publisher | Springer |
Publication date | 2022 |
Pages | 271-289 |
ISBN (Print) | 9783031200731 |
DOIs | |
Publication status | Published - 2022 |
Event | 17th European Conference on Computer Vision, ECCV 2022 - Tel Aviv, Israel Duration: 23 Oct 2022 → 27 Oct 2022 |
Conference
Conference | 17th European Conference on Computer Vision, ECCV 2022 |
---|---|
Land | Israel |
By | Tel Aviv |
Periode | 23/10/2022 → 27/10/2022 |
Series | Lecture Notes in Computer Science |
---|---|
Volume | 13668 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Audio, Fine-grained, Multi-modal learning, Video
Research areas
Links
- https://arxiv.org/pdf/2207.10664.pdf
Submitted manuscript
ID: 342672104