CrossATNet - a novel cross-attention based framework for sketch-based image retrieval

Author:

Chaudhuri Ushasi,Banerjee Biplab,Bhattacharya Avik,Datcu Mihai

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference33 articles.

1. Depth estimation from image structure;Torralba;IEEE Trans. Pattern Anal. Mach. Intell.,2002

2. F. Xu, W. Yang, T. Jiang, S. Lin, H. Luo, G.-S. Xia, Mental retrieval of remote sensing images via adversarial sketch-image feature learning, IEEE Trans. Geosci. Remote Sens.

3. R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. A. Wichmann, W. Brendel, Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness, arXiv preprint arXiv:1811.12231.

4. Zero-shot sketch-image hashing;Shen,2018

5. A zero-shot framework for sketch based image retrieval;Kiran Yelamarthi,2018

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