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20182021
most citedMulti-Similarity Loss with General Pair Weighting for Deep Metric Learning

104 citations · 287 across the 20 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 16 cited

TOOD: Task-aligned One-stage Object Detection

Chengjian Feng, Yujie Zhong, Yu Gao +2

One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to…

cs.CV2021

Mutually-aware Sub-Graphs Differentiable Architecture Search

Haoxian Tan, Sheng Guo, Yujie Zhong +2

Differentiable architecture search is prevalent in the field of NAS because of its simplicity and efficiency, where two paradigms, multi-path algorithms and single-path methods, ar…

cs.CV2021★ 1 cited

Rethinking Deep Contrastive Learning with Embedding Memory

Haozhi Zhang, Xun Wang, Weilin Huang +1

Pair-wise loss functions have been extensively studied and shown to continuously improve the performance of deep metric learning (DML). However, they are primarily designed with in…

cs.CV2021

Brain Image Synthesis with Unsupervised Multivariate Canonical CSCNet

Yawen Huang, Feng Zheng, Danyang Wang +3

Recent advances in neuroscience have highlighted the effectiveness of multi-modal medical data for investigating certain pathologies and understanding human cognition. However, obt…

cs.CV2021

Unchain the Search Space with Hierarchical Differentiable Architecture Search

Guanting Liu, Yujie Zhong, Sheng Guo +2

Differentiable architecture search (DAS) has made great progress in searching for high-performance architectures with reduced computational cost. However, DAS-based methods mainly…