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Titlebook: Computer Vision – ECCV 2018; 15th European Confer Vittorio Ferrari,Martial Hebert,Yair Weiss Conference proceedings 2018 Springer Nature Sw

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發(fā)表于 2025-3-23 10:29:02 | 只看該作者
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發(fā)表于 2025-3-23 17:37:33 | 只看該作者
Domain Adaptation Through Synthesis for Unsupervised Person Re-identification-identification datasets have a significant number of training subjects, but lack diversity in lighting conditions. As a result, a trained model requires fine-tuning to become effective under an unseen illumination condition. To alleviate this problem, we introduce a new synthetic dataset that conta
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發(fā)表于 2025-3-23 18:18:10 | 只看該作者
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發(fā)表于 2025-3-23 23:09:47 | 只看該作者
Facial Expression Recognition with?Inconsistently Annotated Datasetsbe to the inconsistent annotations, performance of existing facial expression recognition (FER) methods cannot keep improving when the training set is enlarged by merging multiple datasets. To address the inconsistency, we propose an Inconsistent Pseudo Annotations to Latent Truth (IPA2LT) framework
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發(fā)表于 2025-3-24 03:48:32 | 只看該作者
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發(fā)表于 2025-3-24 14:58:53 | 只看該作者
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發(fā)表于 2025-3-24 19:35:28 | 只看該作者
Conference proceedings 2018The papers are organized in topical?sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization;?matching and recognition; video attention; and poster sessions..
20#
發(fā)表于 2025-3-24 23:34:33 | 只看該作者
0302-9743 missions. The papers are organized in topical?sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization;?matching and recognition; video attention; and poster sessions..978-3-030-01260-1978-3-030-01261-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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