Method and apparatus for detecting anchor-free object based on deep learning
AssigneesHyundai Motor Company, Kia Motors Corporation, Korea Advanced Institute of Science and Technology
InventorsHa Yong WOO, Jun Mo KIM, Beom Young KIM, Si Haeng LEE, Jang Hyeon LEE, Do Yeon KIM
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Abstract
A method for detecting an anchor-free object based on deep learning may include receiving a target image for object detection, inputting the image to a backbond network and performing learning to generate a heatmap, post-processing the heatmap, and outputting the post-processed result on a screen.
Claims20
A method for detecting an anchor-free object based on deep learning, the method comprising:
- receiving a target image for object detection, by an input device;
- inputting the image to a backbond network and performing learning to generate a heatmap, by a learning device;
- post-processing the heatmap, by a post-processing device;
- and
- outputting the post-processed result on a screen, by an output device.
An apparatus for detecting an anchor-free object based on deep learning, the apparatus comprising:
- an input device configured to receive a target image for object detection;
- a learning device configured to input the image to a backbond network and perform learning to generate a heatmap;
- a post-processing device configured to post-process the heatmap;
- and
- an output device configured to output the post-processed result on a screen.
Dependencies are inferred from the claim text.