the archive
#visual search
3 resultscs.CV2019
Unconstrained Foreground Object Search
Yinan Zhao, Brian Price, Scott Cohen +1
The paper introduces an unconstrained foreground object search method that encodes background images and candidate foreground objects in a shared latent space, enabling efficient r…
#foreground object retrieval#image editing#latent space embedding#large-scale dataset creation
cs.CV2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Pierre Jacob, David Picard, Aymeric Histace +1
The paper introduces HORDE, a distribution-aware regularizer that reduces scattering of deep image features by enforcing locally consistent feature distributions, improving metric…
#metric learning#deep embeddings#regularization#image retrieval
cs.CV2019
Learning a Unified Embedding for Visual Search at Pinterest
Andrew Zhai, Hao-Yu Wu, Eric Tzeng +2
The paper presents a multi‑task deep metric learning system that learns a single unified image embedding for Pinterest’s visual search and recommendation products, handling diverse…
#visual search#image embedding#multi-task learning#metric learning