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T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks.

, , , and . IEEE Access, (2023)

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Improving the efficiency and accuracy of visual attention., , and . AVSS, page 349-354. IEEE Computer Society, (2011)Efficient Approximation of Gray-Scale Images Through Bounded Error Triangular Meshes., , and . ICIP (1), page 168-170. IEEE, (1999)Recognizing specific texture patterns by integration of multiple texture methods., and . ICIP (1), page 125-128. IEEE, (2002)Geometric and Topological Lossy Compression of Dense Range Images., , and . ICIP, page 423-426. IEEE, (2000)Acceleration of Filtering and Enhancement Operations Through Geometric Processing of Gray-Level Images., and . ICIP, page 97-100. IEEE, (2000)Pixel classification through divergence-based integration of texture methods with conflict resolution., and . ICIP (2), page 1037-1040. IEEE, (2003)Analysis of focus measure operators for shape-from-focus., , and . Pattern Recognit., 46 (5): 1415-1432 (2013)The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition., , , and . CCIA, volume 288 of Frontiers in Artificial Intelligence and Applications, page 64-70. IOS Press, (2016)Efficient generation of discontinuity-preserving adaptive triangulations from range images., and . IEEE Trans. Syst. Man Cybern. Part B, 34 (5): 2003-2014 (2004)Pixel Classification by Divergence-Based Integration of Multiple Texture Methods and Its Application to Fabric Defect Detection., and . DAGM-Symposium, volume 2781 of Lecture Notes in Computer Science, page 132-139. Springer, (2003)