REP
发表于 2025-3-28 17:26:16
Making a Case for Learning Motion Representations with Phase use cases: (i) action recognition, (ii) motion prediction in static images, (iii) motion transfer in static images and, (iv) motion transfer in video. For each task we motivate the phase-based direction and provide a possible approach.
为现场
发表于 2025-3-28 19:43:29
Improving Constrained Bundle Adjustment Through Semantic Scene Labelings on improving city-scale SLAM through the use of deep learning. More precisely, we propose to use CNN-based scene labeling to geometrically constrain bundle adjustment. Our experiments indicate a considerable increase in robustness and precision.
dilute
发表于 2025-3-29 01:11:03
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Halfhearted
发表于 2025-3-29 04:35:07
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Debility
发表于 2025-3-29 09:58:17
The Dynamics of Change in Higher Education significant computational cost inherent to deployment of a state-of-the-art deep network for semantic labeling does not hinder interactivity thanks to suitable scheduling of the workload on an off-the-shelf PC platform equipped with two GPUs.
coagulation
发表于 2025-3-29 14:43:37
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情感脆弱
发表于 2025-3-29 17:13:38
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aphasia
发表于 2025-3-29 21:58:08
Temporal Convolutional Networks: A Unified Approach to Action Segmentationles. Our model achieves superior or competitive performance using video or sensor data on three public action segmentation datasets and can be trained in a fraction of the time it takes to train an RNN.
amenity
发表于 2025-3-30 03:34:13
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吹牛者
发表于 2025-3-30 04:12:08
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