Abrupt
发表于 2025-3-26 23:13:38
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acrophobia
发表于 2025-3-27 03:30:57
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection propose a technique to learn a model patch with a size that is dependent on the difficulty of the task to be learned, and validate our approach on 10 different object detection tasks. Our approach achieves similar accuracy as previously proposed approaches, while being significantly more compact.
一致性
发表于 2025-3-27 07:22:40
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Bronchial-Tubes
发表于 2025-3-27 12:13:00
Audiovisual Transformer with Instance Attention for Audio-Visual Event Localizationwhich would identify image regions at the instance level which are associated with the sound/event of interest. Experiments on a benchmark dataset confirm the effectiveness of our proposed framework, with ablation studies performed to verify the design of our propose network model.
纺织品
发表于 2025-3-27 16:30:39
Watch, Read and Lookup: Learning to Spot Signs from Multiple Supervisorsur approach on low-shot sign spotting benchmarks. In addition, we contribute a machine-readable British Sign Language (BSL) dictionary dataset of isolated signs, ., to facilitate study of this task. The dataset, models and code are available at our project page (.).
浮夸
发表于 2025-3-27 21:00:26
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率直
发表于 2025-3-27 22:21:21
Explaining Image Classifiers by Removing Input Features Using Generative Modelsand saliency metrics; and (3) being more robust to hyperparameter changes. Our findings were consistent across both ImageNet and Places365 datasets and two different pairs of classifiers and inpainters.
流动才波动
发表于 2025-3-28 02:54:41
0302-9743 , Japan, in November/ December 2020.*.The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:..Part I: 3D computer vision; segmentation and grouping..Part II: low-level vision, i
dyspareunia
发表于 2025-3-28 06:44:00
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OGLE
发表于 2025-3-28 11:36:38
0302-9743 iomedical image analysis..Part VI: applications of computer vision; vision for X; datasets and performance analysis..*The conference was held virtually..978-3-030-69543-9978-3-030-69544-6Series ISSN 0302-9743 Series E-ISSN 1611-3349