most citedBottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations

1 citations · 1 across the 1 of their papers we have counts for

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cs.CV2024★ 1 cited

Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations

Pablo Rivas, Gisela Bichler, Tomas Cerny +2

Unbiased representation learning is still an object of study under specific applications and contexts. Novel architectures are usually crafted to resolve particular problems using…