Cargando…
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval
Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due to some problems, such as a large number of clothing categories, different appearances of clothing items due to different camera angles and shooting conditions, dif...
Autores principales: | Alirezazadeh, Pendar, Dornaika, Fadi, Moujahid, Abdelmalik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002530/ https://www.ncbi.nlm.nih.gov/pubmed/35408276 http://dx.doi.org/10.3390/s22072660 |
Ejemplares similares
-
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans
por: Bougourzi, Fares, et al.
Publicado: (2023) -
Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans
por: Bougourzi, Fares, et al.
Publicado: (2021) -
Metabolic efficiency with fast spiking in the squid axon
por: Moujahid, Abdelmalik, et al.
Publicado: (2012) -
Learning while shopping: an experimental investigation into the effect of learning on consumer search
por: Casner, Ben
Publicado: (2020) -
The effect of social media entrepreneurship on sustainable development: Evidence from online clothing shops in Bangladesh
por: Rahman, Md Mominur, et al.
Publicado: (2023)