Deep learning for overlapping objects detection with noise: a bibliometric analysis
This study conducts a bibliometric analysis to investigate the utilization of deep learning for detecting overlapping objects in noisy environments. Despite the advancements in deep learning, accurately detecting overlapping objects amidst noise remains a significant challenge. Relevant publications...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
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| Online Access: | http://journalarticle.ukm.my/25040/ http://journalarticle.ukm.my/25040/1/232%20%E2%80%93%20252.pdf |