most citedFine-grained Few-shot Recognition by Deep Object Parsing

2 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 2 cited

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

Dina Bashkirova, Samarth Mishra, Diala Lteif +16

Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sortin…

cs.CV2022★ 2 cited

Fine-grained Few-shot Recognition by Deep Object Parsing

Ruizhao Zhu, Pengkai Zhu, Samarth Mishra +1

We propose a new method for fine-grained few-shot recognition via deep object parsing. In our framework, an object is made up of K distinct parts and for each part, we learn a dict…