auxiliary
发表于 2025-3-28 15:54:17
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肉体
发表于 2025-3-28 20:52:17
Stephan Ahbe,Simon Weihofen,Steffen Wellgeerence) and the locations of the target object from our trajectory inference, we predict the final target’s location in each frame. Comprehensive evaluations show that our method sets new state-of-the-art performance on a few commonly used tracking benchmarks.
难管
发表于 2025-3-29 02:23:13
Leonard Sandin,Piet F. M. Verdonschotmming (MIP) to jointly optimize the binary selection factors and continuous perturbation magnitudes of all pixels, with a cardinality constraint on selection factors to explicitly control the degree of sparsity. Besides, the perturbation factorization provides the extra flexibility to incorporate ot
姑姑在炫耀
发表于 2025-3-29 03:13:25
The Ecologies of Amateur Theatrely and objectively using a new dataset with ground-truth relighting. Results show the ability of our technique to produce photo-realistic and physically plausible results, that generalizes to unseen scenes.
glomeruli
发表于 2025-3-29 11:03:04
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Pigeon
发表于 2025-3-29 14:16:45
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BLANC
发表于 2025-3-29 16:26:34
https://doi.org/10.1007/978-94-017-3284-0en the complex specificity of fashion terms. Our experiments on three datasets (Fashion-200k, UT-Zap50k, and Fashion-iq) show that JVSM achieves state-of-the-art results on language-guided retrieval and additionally we show its capabilities to perform image and text retrieval.
impale
发表于 2025-3-29 22:53:02
R. Eugene Turner,Donald F. Boesch global optimality in terms of maximizing the number of inliers. It can also automatically determine the number of VPs. Moreover, its efficiency is suitable for practical applications. Experiments on synthetic and real-world datasets showed that our method outperforms state-of-the-art approaches in
支形吊灯
发表于 2025-3-30 03:08:51
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Valves
发表于 2025-3-30 04:07:05
https://doi.org/10.1007/978-3-319-63877-5could enhance the discriminative ability of some weak modality. Moreover, all branches are aggregated together in an adaptive manner and parallel embedded in the backbone network to efficiently form more discriminative target representations. These challenge-aware branches are able to model the targ