Add new papers (ECCV 2022, AAAI 2023)

[wjun0830]

We would like to introduce 2 new papers regarding imbalanced learning.

1. Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition (AAAI 2023)

Arxiv version is available https://arxiv.org/abs/2211.13471

GitHub is available https://github.com/wjun0830/MOVE

The imbalance-MiniKinetics200 dataset is available in http://115.145.172.53:1215/AAAI_2023_MOVE_longtailed_minikinetics/index.html

This paper handles video-imbalanced learning and proposes a new video-imbalanced benchmarking dataset.

2. Tailoring Self-Supervision for Supervised Learning (ECCV 2022)

Arxiv version is available
https://arxiv.org/abs/2207.10023)

ECCV version is available https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136850342.pdf

GitHub is available https://github.com/wjun0830/Localizable-Rotation

This paper handles self-supervision to be applied in the supervised domain, including image imbalance learning as the main benchmark.

We'd really appreciate it if you include these papers in your awesome long-tailed learning repository.