Attribute-assisted reranking for web image retrieval

50 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning (2021, methodology): “Metric-based methods [24, 25, 2, 3] focus on the similarity metric function over the embeddings.”
Ordinal Regression with Multiple Output CNN for Age Estimation (2016, background): “Human age estimation from face images remains to be an active research topic, which has many applications, such as demographics analysis, commercial user management, visual surveillance [22, 23, 24, 30, 3], and even aging progression [28].”
Pedestrian Attribute Recognition At Far Distance (2014, background): “[12], for the applications such as image retrieval and recommendation systems [3, 7, 11].”
Group-aware Label Transfer for Domain Adaptive Person Re-identification (2021, background): “Therefore, group-based description [21] that involves common characteristics in a pseudo group, can be useful to narrow down the set of candidates and beneficial to identify the exact persons [47, 3, 2].”
An Attribute-Assisted Reranking Model for Web Image Search (2015, methodology): “• We improve the hypergraph learning method approach presented in [28] by adding a regularizer on the hyperedge weights which performs an implicit selection on the semantic attributes.”