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Found 3 papers, 1 papers with code
Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation
It remains very challenging to build a pedestrian detection system for real world applications, which demand for both accuracy and speed.
Cross-Resolution Person Re-identification with Deep Antithetical Learning
One paradigm to deal with this problem is to use some complicated methods for mapping all images into an artificial image space, which however will disrupt the natural image distribution and requires heavy image preprocessing.
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
Ranked #4 on
Online Multi-Object Tracking
on MOT16
Large-Scale Person Re-Identification
Multi-Object Tracking
+2
