Location-aware object detection via coherent region grouping

2015 ◽  
Author(s):  
Shen-Chi Chen ◽  
Kevin Lin ◽  
Chu-Song Chen ◽  
Yi-Ping Hung
Keyword(s):  
Object Detection ◽  
Location Aware ◽  
Region Grouping

scholarly journals Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 129300-129309 ◽  
Author(s):  
Wenchi Ma ◽  
Kaidong Li ◽  
Guanghui Wang
Keyword(s):  
Object Detection ◽  
Single Shot ◽  
Location Aware

Robust one-stage object detection with location-aware classifiers

2020 ◽  
Vol 105 ◽  
pp. 107334 ◽  
Author(s):  
Qiang Chen ◽  
Peisong Wang ◽  
Anda Cheng ◽  
Wanguo Wang ◽  
Yifan Zhang ◽  
...  
Keyword(s):  
Object Detection ◽  
One Stage ◽  
Location Aware

Automatic accounting of Baikal diatomic algae: approaches and prospects

2019 ◽  
pp. 295-299
Author(s):  
Кonstantin А. Elshin ◽  
Еlena I. Molchanova ◽  
Мarina V. Usoltseva ◽  
Yelena V. Likhoshway
Keyword(s):  
Object Detection ◽  
Loss Function ◽  
Classification Accuracy ◽  
Diatom Species ◽  
Bounding Box ◽  
Synedra Acus ◽  
And Training

Using the TensorFlow Object Detection API, an approach to identifying and registering Baikal diatom species Synedra acus subsp. radians has been tested. As a result, a set of images was formed and training was conducted. It is shown that аfter 15000 training iterations, the total value of the loss function was obtained equal to 0,04. At the same time, the classification accuracy is equal to 95%, and the accuracy of construction of the bounding box is also equal to 95%.

Object Detection in Cluttered Range Images Using Edgel Geometry

2010 ◽  
Vol 130 (9) ◽  
pp. 1572-1580
Author(s):  
Dipankar Das ◽  
Yoshinori Kobayashi ◽  
Yoshinori Kuno
Keyword(s):  
Object Detection ◽  
Range Images
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