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0111 · Dec 201819922001200920182026
3 results for Market-1501

This work reduces the computational cost of large-scale knowledge distillation.

problem Heavy computational costs in training large-scale knowledge distillation models.
method Dynamic Importance Sampling applied to the interaction between teacher and student.
result Our method reduces training time while maintaining competitive performance.

Beta-SOD detects and corrects noisy object re-identification using cosine similarity and Beta mixtures.

problem Noisy object re-identification in image datasets.
method Reframed Re-ID as a similarity task, using Siamese networks and Beta mixture models.
result Superior performance in noisy conditions compared to state-of-the-art methods.