进取心
发表于 2025-3-28 17:16:01
0302-9743 uter Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers dea
幸福愉悦感
发表于 2025-3-28 21:55:05
Conference proceedings 2020n, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with top
gregarious
发表于 2025-3-29 00:44:13
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation,ly, several studies have shown that augmentation strategies found by search algorithms outperform hand-made strategies. Such methods employ black-box search algorithms over image transformations with continuous or discrete parameters and require a long time to obtain better strategies. In this paper
–scent
发表于 2025-3-29 06:46:51
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation,ing its inherent structural dependencies. To address this issue, we connect this structured output learning problem with the structured modeling framework in sequence transduction field. Standard transduction models like Transformer adopt an autoregressive connection to capture dependencies from pre
FIR
发表于 2025-3-29 08:57:47
Boundary-Aware Cascade Networks for Temporal Action Segmentation,problems, we present a new boundary-aware cascade network by introducing two novel components. First, we devise a new cascading paradigm, called Stage Cascade, to enable our model to have adaptive receptive fields and more confident predictions for ambiguous frames. Second, we design a general and p
公司
发表于 2025-3-29 15:05:42
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Featureresolution. This work investigates a novel multi-reference based super-resolution problem by proposing a Content Independent Multi-Reference Super-Resolution (CIMR-SR) model, which is able to adaptively match the visual pattern between references and target image in the low resolution and enhance th
Mechanics
发表于 2025-3-29 16:31:00
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progestogen
发表于 2025-3-29 23:25:41
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违抗
发表于 2025-3-30 02:57:40
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BLANC
发表于 2025-3-30 06:48:20
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