Saline
发表于 2025-3-26 21:52:37
Learning Image-to-Image Translation Using Paired and Unpaired Training Samplesvely improved results. Our model outperforms the baselines also in the case of purely paired and unpaired training data. To our knowledge, this is the first work to consider such hybrid setup in image-to-image translation.
fulmination
发表于 2025-3-27 04:54:26
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overweight
发表于 2025-3-27 06:57:56
Aligning Salient Objects to Queries: A Multi-modal and Multi-object Image Retrieval Frameworklity of the co-occurrence of different objects in the training set. We validate the performance of our approach on standard single/multi-object datasets, showing state-of-the art performance in every dataset.
PRISE
发表于 2025-3-27 12:48:34
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FACET
发表于 2025-3-27 14:53:59
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可忽略
发表于 2025-3-27 20:49:34
Revolutionary Ecological Liberation: he single model trained on four holistic ReID datasets achieves competitive accuracy on these four datasets, as well as outperforms the state-of-the-art methods on two partial ReID datasets without training.
Emasculate
发表于 2025-3-27 23:11:38
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Endearing
发表于 2025-3-28 04:37:51
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Ringworm
发表于 2025-3-28 06:16:44
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Interregnum
发表于 2025-3-28 12:45:52
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-identificationen occluded by obstacles or other persons in practical scenarios, which makes partial person re-identification non-trivial. In this paper, we propose a spatial-channel parallelism network (SCPNet) in which each channel in the ReID feature pays attention to a given spatial part of the body. The spati