Adapting Video Instance Segmentation for Instance Search

Author:

Nguyen An Thi1ORCID

Affiliation:

1. Norwegian University of Science and Technology, Norway

Funder

The Research Council of Norway

Publisher

ACM

Reference26 articles.

1. Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features

2. Bingyi Cao , Andre Araujo , and Jack Sim . 2020 . Unifying deep local and global features for image search. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 , Proceedings, Part XX 16 . Springer, 726–743. Bingyi Cao, Andre Araujo, and Jack Sim. 2020. Unifying deep local and global features for image search. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XX 16. Springer, 726–743.

3. CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification

4. EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

5. Class Weighted Convolutional Features for Visual Instance Search

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