refine
发表于 2025-3-28 15:41:39
https://doi.org/10.1007/978-1-62703-266-7de-off in .-NN classification, evaluating the impact of related techniques (posterior probability estimation and metric learning). Experimental results show that a proper combination of .-NN and metric learning can be very effective and obtain good performance.
incredulity
发表于 2025-3-28 21:27:43
Cytoskeleton Dynamics and Binding Factorserformance on the CUB200-2011 dataset, but in contrast to previous approaches also to perform detection and bird classification jointly without requiring a given bounding box annotation during testing and ground-truth parts during training.
SPASM
发表于 2025-3-28 23:29:06
Elena E. Grintsevich,Emil Reislerations discriminating character and non-character CCs, resulting in the improved detection accuracy. The proposed method is evaluated on ICDAR and SVT public datasets and achieves the state-of-the-art results, which reveal the effectiveness of the method.
钝剑
发表于 2025-3-29 03:30:34
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厚颜
发表于 2025-3-29 11:04:12
Single Image Smoke Detectiontructed as a concatenation of the respective sparse coefficients. Extensive experiments were conducted and the results have shown that the proposed feature significantly outperforms the existing features for smoke detection.
CERE
发表于 2025-3-29 11:33:48
Accuracy and Specificity Trade-off in ,-nearest Neighbors Classificationde-off in .-NN classification, evaluating the impact of related techniques (posterior probability estimation and metric learning). Experimental results show that a proper combination of .-NN and metric learning can be very effective and obtain good performance.
搬运工
发表于 2025-3-29 16:16:35
Part Detector Discovery in Deep Convolutional Neural Networkserformance on the CUB200-2011 dataset, but in contrast to previous approaches also to perform detection and bird classification jointly without requiring a given bounding box annotation during testing and ground-truth parts during training.
chuckle
发表于 2025-3-29 22:49:23
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使饥饿
发表于 2025-3-30 03:43:40
Einat Sadot,Elison B. Blancaflord completeness of the final reconstruction. Unlike previous works, which only address the problem of efficient structure from motion (SfM), our technique is highly applicable to the whole reconstruction pipeline, and solves the problems of efficient bundle adjustment, multi-view stereo (MVS), and subsequent variational refinement.
鬼魂
发表于 2025-3-30 07:35:37
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