occult
发表于 2025-3-23 12:37:30
The Dialectics of Liberation in Dark Timesition performance. Given this analysis, we train a network that far exceeds the state-of-the-art on the IJB-B face recognition dataset. This is currently one of the most challenging public benchmarks, and we surpass the state-of-the-art on both the identification and verification protocols.
进取心
发表于 2025-3-23 14:33:59
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传授知识
发表于 2025-3-23 19:29:46
https://doi.org/10.1057/978-1-137-46236-7n. Extensive experiments shows that SCFDM outperforms the state-of-the-art methods on the cross-spectral dataset in terms of FPR95 and the training convergence. Meanwhile, it also demonstrates a better generalizability on a single spectral dataset.
诱拐
发表于 2025-3-23 23:56:13
https://doi.org/10.1057/978-1-137-46236-7ning time and segmentation improvements comparable to state-of-the-art refinement approaches for semantic segmentation, as demonstrated by evaluations on multiple publicly available benchmark datasets.
ornithology
发表于 2025-3-24 04:47:36
Marcus Keller,Javier Irigoyen-Garcíaotions are also taken care of by checking their global consistency with the final estimated background motion. Lastly, by virtue of its efficiency, our method can deal with densely sampled trajectories. It outperforms several state-of-the-art motion segmentation methods on public datasets, both quan
critic
发表于 2025-3-24 10:08:43
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甜食
发表于 2025-3-24 14:06:50
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STANT
发表于 2025-3-24 18:09:46
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Antagonism
发表于 2025-3-24 22:03:48
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感激小女
发表于 2025-3-25 02:00:51
Yasemin Burcu Baloğlu,Sema Esen Soygenişe original objective function of cGAN. We train our model on a large-scale dataset and present illustrative qualitative and quantitative analysis of our results. Our results vividly display the versatility and the proficiency of our methods through life-like colourization outcomes.