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Found 7 papers, 4 papers with code
FPB: Feature Pyramid Branch for Person Re-Identification
In this paper, we propose a lightweight Feature Pyramid Branch (FPB) to extract features from different layers of networks and aggregate them in a bidirectional pyramid structure.
Ranked #6 on
Person Re-Identification
on CUHK03 labeled
Branch-Cooperative OSNet for Person Re-Identification
Multi-branch is extensively studied for learning rich feature representation for person re-identification (Re-ID).
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
In particular, we show that the feature diversity can be well achieved with the use of multiple dropping branches by setting individual dropping ratio for each branch.
Learning Diverse Features with Part-Level Resolution for Person Re-Identification
Learning diverse features is key to the success of person re-identification.
Ranked #3 on
Person Re-Identification
on Market-1501-C
Fast Dynamic Routing Based on Weighted Kernel Density Estimation
Capsules as well as dynamic routing between them are most recently proposed structures for deep neural networks.
Ranked #5 on
Image Classification
on smallNORB
Investigating Capsule Networks with Dynamic Routing for Text Classification
In this study, we explore capsule networks with dynamic routing for text classification.
Ranked #6 on
Sentiment Analysis
on MR
Tracking Deformable Parts via Dynamic Conditional Random Fields
Despite the success of many advanced tracking methods in this area, tracking targets with drastic variation of appearance such as deformation, view change and partial occlusion in video sequences is still a challenge in practical applications.
