A context- and level-aware feature pyramid network for object detection with attention mechanism
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-022-02758-x.pdf
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3. Gupta, A.K., Seal, A., Khanna, P., Krejcar, O., Yazidi, A.: AWKs: adaptive, weighted k-means-based superpixels for improved saliency detection. Pattern Anal. Appl. 24(2), 625–639 (2021)
4. Zhang, J., Liu, Y., Guo, C., Zhan, J.: Optimized segmentation with image inpainting for semantic mapping in dynamic scenes. Appl. Intell. (2022). https://doi.org/10.1007/s10489-022-03487-3
5. Wang, J., Yu, J., He, Z.: ARFP: a novel adaptive recursive feature pyramid for object detection in aerial images. Appl. Intell. 52, 12844–12859 (2022). https://doi.org/10.1007/s10489-021-03147-y
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