痴呆 发表于 2025-3-26 22:29:44

0302-9743 art VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. .978-3-031-26312-5978-3-031-26313-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

易弯曲 发表于 2025-3-27 01:40:53

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向外才掩饰 发表于 2025-3-27 07:58:59

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incision 发表于 2025-3-27 09:46:29

Dirk Slama,Tanja Rückert,Heiner LasiSDN, the dehazing performance can be easily finetuned with an additional dataset that can be built by simply collecting hazy images. Experimental results show that our proposed SSDN is lightweight and shows competitive dehazing performance with strong generalization capability over various data domains.

endure 发表于 2025-3-27 16:23:36

Multi-Branch Network with Ensemble Learning for Text Removal in the Wild a patch attention module to perceive text location and generate text attention features. Our method outperforms state-of-the-art approaches on both real-world and synthetic datasets, improving PSNR by 1.78 dB in the SCUT-EnsText dataset and 4.45 dB in the SCUT-Syn dataset.

可用 发表于 2025-3-27 18:04:06

Lightweight Alpha Matting Network Using Distillation-Based Channel Pruningtitative and qualitative experiments with in-depth analyses. Furthermore, we demonstrate the versatility of the proposed distillation-based channel pruning method by applying it to semantic segmentation.

最初 发表于 2025-3-27 22:57:46

Self-Supervised Dehazing Network Using Physical PriorsSDN, the dehazing performance can be easily finetuned with an additional dataset that can be built by simply collecting hazy images. Experimental results show that our proposed SSDN is lightweight and shows competitive dehazing performance with strong generalization capability over various data domains.

Gleason-score 发表于 2025-3-28 02:44:13

Conference proceedings 2023ing, and shape representation; datasets and performance analysis;.Part VI: biomedical image analysis; deep learning for computer vision; ..Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. .

dapper 发表于 2025-3-28 09:07:21

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antiquated 发表于 2025-3-28 13:57:14

0302-9743China, December 2022...The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:..Part I: 3D computer vision; optimization methods;.Part II: applic
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查看完整版本: Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic