• No results found

Deep Learning Techniques for Object Detection

N/A
N/A
Protected

Academic year: 2020

Share "Deep Learning Techniques for Object Detection"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

References

Related documents

{Factors contributing to the performance of a farmworker equity-share scheme} Policy & program interventions Conceptual Framework Institutional & macro-policy framework

1.4 Contractor shall not provide psychiatric services to sworn or professional staff of the Department and/or their family members/significant others under this Master

Liver cell tumors have been reported in patients receiving long-term therapy with androgenic anabolic steroids in high doses (see WARNINGS).. Withdrawal of the drugs did not lead to

The current study adds knowledge to the existing literature based on studies conducted by Mashigo (2006), the Public Service Commission(2007) and Nyaruwata and Leibbrandt

These past few months have been busy ones for the NMHBA. From our highly successful member lunch and immigration CLE, to our equally successful Northern New Mexico meet

To assess the association between blood lead levels and CMT scores in a multivariable setting, we constructed multilevel models of reading or mathematics test score (depending on

DynACof (which stands for Dynamic Agroforestry Coffee crop model), is a daily plot scale crop model (Murthy, 2004) with two layers of vegetation (shade trees

Gupta et al conducted a clinical trial with Sorafenib in 30 radioactive iodine refractory thyroid cancer patients and found a median progression free survival (PFS) of 79 weeks,