HIV763
发表于 2025-3-21 19:29:54
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hemorrhage
发表于 2025-3-21 23:10:11
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真
发表于 2025-3-22 02:28:10
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Ceremony
发表于 2025-3-22 05:07:54
Waqar Malik compared to its predecessor H.264, with similar perceptual quality. The increased computational time complexity is an important issue for the video coding research community as well. An attempt to reduce this complexity of HEVC is adopted in this paper, by efficient selection of appropriate block-p
textile
发表于 2025-3-22 11:51:01
Waqar Malik compared to its predecessor H.264, with similar perceptual quality. The increased computational time complexity is an important issue for the video coding research community as well. An attempt to reduce this complexity of HEVC is adopted in this paper, by efficient selection of appropriate block-p
Parameter
发表于 2025-3-22 13:22:13
Waqar Malik compared to its predecessor H.264, with similar perceptual quality. The increased computational time complexity is an important issue for the video coding research community as well. An attempt to reduce this complexity of HEVC is adopted in this paper, by efficient selection of appropriate block-p
Recess
发表于 2025-3-22 20:50:11
Waqar Maliknterests in intelligent video surveillance. As one of the newly emerging applications, deep learning has been incorporated into the feature representation of person re-identification. However, the existing deep feature learning methods are difficult to generate the robust and discriminative features
Coronary
发表于 2025-3-22 21:16:55
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Relinquish
发表于 2025-3-23 02:00:31
Waqar Malikrsonality. Development of intelligent technology has changed organization of knowledge, interactions among new generation of learners and way of learning and living, and even social organization and social structure, which brings big challenges to current educational ideas, methods and models. Const
男学院
发表于 2025-3-23 07:32:38
Waqar Malikion. Two-stage detectors like Faster RCNN and its variants are found to be more accurate compared to its one-stage counter-parts. Faster RCNN combines an ImageNet pretrained backbone network (e.g VGG16) and a Region Proposal Network (RPN) for object detection. Although Faster RCNN performs well on m