作者: 胰臟 時間: 2025-3-21 21:58 作者: white-matter 時間: 2025-3-22 02:41
MIPI 2022 Challenge on?RGBW Sensor Re-mosaic: Dataset and?Reportotography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). To bridge the gap, we introduce the first 作者: 門窗的側(cè)柱 時間: 2025-3-22 08:04 作者: 懸崖 時間: 2025-3-22 10:43
MIPI 2022 Challenge on?Under-Display Camera Image Restoration: Methods and?Resultsotography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). To bridge the gap, we introduce the first 作者: Obedient 時間: 2025-3-22 14:36
Continuous Spectral Reconstruction from?RGB Images via?Implicit Neural Representationpectral bands. However, they generally neglect the continuous nature of the spectral signature and only reconstruct specific spectral bands due to the intrinsic limitation of discrete mappings. In this paper, we propose a novel continuous spectral reconstruction network with implicit neural represen作者: Obedient 時間: 2025-3-22 18:50 作者: overreach 時間: 2025-3-23 00:32
UDC-UNet: Under-Display Camera Image Restoration via?U-shape Dynamic Networkthe light propagation process, the images captured by the UDC system usually contain flare, haze, blur, and noise. Particularly, flare and blur in UDC images could severely deteriorate the user experience in high dynamic range (HDR) scenes. In this paper, we propose a new deep model, namely UDC-UNet作者: Concrete 時間: 2025-3-23 03:21
Enhanced Coarse-to-Fine Network for?Image Restoration from?Under-Display Cameras) demonstrate practical applicability in smartphones, laptops, tablets, and other scenarios. However, the images captured by UDCs suffer from complex image degradation issues, such as flare, haze, blur, and noise. To solve the above issues, we present an Enhanced Coarse-to-Fine Network (ECFNet) to e作者: 格子架 時間: 2025-3-23 07:19
Learning to?Joint Remosaic and?Denoise in?Quad Bayer CFA via?Universal Multi-scale Channel Attentionls, which can improve the image quality by averaging four pixels in the 2.2 neighborhood under low light conditions. From low-resolution Bayer to full-resolution Bayer has become a very challenging research, especially in the presence of noise. Considering denoise and remosaic, we propose a general 作者: metropolitan 時間: 2025-3-23 13:34
Learning an?Efficient Multimodal Depth Completion Model, but still faces some problems. First, the fusion of multimodal information requires more network modules to process different modalities. But the application scenarios of sparse ToF measurements usually demand lightweight structure and low computational cost. Second, fusing sparse and noisy depth 作者: Decongestant 時間: 2025-3-23 14:39 作者: 山羊 時間: 2025-3-23 20:48 作者: 性上癮 時間: 2025-3-24 00:03 作者: Mucosa 時間: 2025-3-24 06:22
YOLO5Face: Why Reinventing a?Face Detectorted for the detection of face, we treat face detection as a general object detection task. We implement a face detector based on YOLOv5 object detector and call it YOLO5Face. We add a five-point landmark regression head into it and use the Wing loss function. We design detectors with different model作者: 豐滿有漂亮 時間: 2025-3-24 09:17
Counterfactual Fairness for?Facial Expression Recognitionlity has been proposed as a method to address the problem of bias, giving rise to the popularity of using counterfactuals as a bias mitigation tool. In this paper, we undertake a systematic investigation of the usage of counterfactuals to achieve both statistical and causal-based fairness in facial 作者: 樸素 時間: 2025-3-24 11:53
Improved Cross-Dataset Facial Expression Recognition by?Handling Data Imbalance and?Feature Confusioicit domain shift between different datasets. In addition, FER data is naturally highly imbalanced, with a majority of the samples belonging to few expressions like neutral, happy and relatively fewer samples coming from expressions like disgust, fear, etc., which makes the FER task even more challe作者: 不可知論 時間: 2025-3-24 16:25 作者: Femish 時間: 2025-3-24 21:08
YOLO5Face: Why Reinventing a?Face Detectorresults on the WiderFace dataset show that our face detectors can achieve state-of-the-art performance in almost all the Easy, Medium, and Hard subsets, exceeding the more complex designated face detectors. The code is available at ..作者: 重畫只能放棄 時間: 2025-3-25 02:33
0302-9743 e 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online..The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop 作者: sperse 時間: 2025-3-25 03:27 作者: Agility 時間: 2025-3-25 09:10 作者: tenosynovitis 時間: 2025-3-25 13:57
Light Damage in Dystrophic and Normal Ratse encoder module, feature refinement module and final prediction module. After that, get a clean QBC and then use the same network structure to remosaic to generate Bayer. Extensive experiments demonstrate the proposed two-stage method has a good effect in quantitative indicators and subjective vision.作者: 舊石器 時間: 2025-3-25 16:51
MIPI 2022 Challenge on?Under-Display Camera Image Restoration: Methods and?Resultsl testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Under-Display Camera Image Restoration. A detailed description of all models developed in this challenge is provided in this paper. More details of this challenge and the link to the dataset can be found at ..作者: 很像弓] 時間: 2025-3-25 23:24 作者: 不近人情 時間: 2025-3-26 03:58
https://doi.org/10.1007/978-3-031-25072-9artificial intelligence; computer networks; computer security; computer vision; Human-Computer Interacti作者: 設(shè)施 時間: 2025-3-26 07:37
978-3-031-25071-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Repatriate 時間: 2025-3-26 09:03 作者: BRUNT 時間: 2025-3-26 15:31 作者: Inflammation 時間: 2025-3-26 19:43
The Effects of Autism on the Familyotography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). To bridge the gap, we introduce the first 作者: superfluous 時間: 2025-3-27 00:36
Professional Attitudes toward Parentsotography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). To bridge the gap, we introduce the first 作者: Leaven 時間: 2025-3-27 03:02 作者: grandiose 時間: 2025-3-27 06:38 作者: formula 時間: 2025-3-27 11:54 作者: 向宇宙 時間: 2025-3-27 16:59 作者: defile 時間: 2025-3-27 21:21
Discussion of Results and Conclusions,the light propagation process, the images captured by the UDC system usually contain flare, haze, blur, and noise. Particularly, flare and blur in UDC images could severely deteriorate the user experience in high dynamic range (HDR) scenes. In this paper, we propose a new deep model, namely UDC-UNet作者: 單挑 時間: 2025-3-27 23:23
Theodore P. Williams,B. N. Baker) demonstrate practical applicability in smartphones, laptops, tablets, and other scenarios. However, the images captured by UDCs suffer from complex image degradation issues, such as flare, haze, blur, and noise. To solve the above issues, we present an Enhanced Coarse-to-Fine Network (ECFNet) to e作者: etiquette 時間: 2025-3-28 05:32
Light Damage in Dystrophic and Normal Ratsls, which can improve the image quality by averaging four pixels in the 2.2 neighborhood under low light conditions. From low-resolution Bayer to full-resolution Bayer has become a very challenging research, especially in the presence of noise. Considering denoise and remosaic, we propose a general 作者: 極力證明 時間: 2025-3-28 09:53 作者: 肉體 時間: 2025-3-28 10:47 作者: IVORY 時間: 2025-3-28 16:03 作者: 知識 時間: 2025-3-28 19:27
https://doi.org/10.1007/978-94-011-7327-8ree are processed as a whole. However, such approaches ignore the fact that action categories are often characterized by localized action dynamics involving only small subsets of part joint groups involving hands (e.g. ‘Thumbs up’) or legs (e.g. ‘Kicking’). Although part-grouping based approaches ex作者: exostosis 時間: 2025-3-29 02:22 作者: 無法治愈 時間: 2025-3-29 03:47
Thermoelectric Coupled Photovoltaic Moduleslity has been proposed as a method to address the problem of bias, giving rise to the popularity of using counterfactuals as a bias mitigation tool. In this paper, we undertake a systematic investigation of the usage of counterfactuals to achieve both statistical and causal-based fairness in facial 作者: 易于出錯 時間: 2025-3-29 10:31 作者: Harass 時間: 2025-3-29 13:52
Computer Vision – ECCV 2022 Workshops978-3-031-25072-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 貿(mào)易 時間: 2025-3-29 18:37
Professional Attitudes toward Parentse data are collected in an indoor scenario. We require that the running time of all methods should be real-time on desktop GPUs. The final results are evaluated using objective metrics and Mean Opinion Score (MOS) subjectively. A detailed description of all models developed in this challenge is prov作者: defuse 時間: 2025-3-29 21:10
The Effects of Autism on the Family provided at 0?dB, 24?dB and 42?dB. All the data were captured using a Quad sensor in both outdoor and indoor conditions. The final results are evaluated using objective metrics including PSNR, SSIM?[.], LPIPS?[.] and KLD. A detailed description of all models developed in this challenge is provided 作者: 向下五度才偏 時間: 2025-3-30 02:58 作者: Obscure 時間: 2025-3-30 05:37 作者: 到婚嫁年齡 時間: 2025-3-30 09:30 作者: 繁榮地區(qū) 時間: 2025-3-30 15:09 作者: 一罵死割除 時間: 2025-3-30 17:11
Discussion of Results and Conclusions,etter visual quality. Experimental results show that the proposed UDC-UNet outperforms the state-of-the-art methods in quantitative and qualitative comparisons. Our approach won second place in the UDC image restoration track of the MIPI challenge. Codes and models are available at ..作者: 騙子 時間: 2025-3-30 21:06
Theodore P. Williams,B. N. Bakerhe existing state-of-the-art methods both qualitatively and visually, and our ECFNet achieves the best performance in terms of all the evaluation metrics in the MIPI-challenge 2022 Under-display Camera Image Restoration track. Our source codes are available at ..作者: 抑制 時間: 2025-3-31 01:59 作者: archetype 時間: 2025-3-31 07:14
Robert B. Barlow Jr.,Steven C. Chamberlainnal Processor (ISP) to generate the RGB images from our reconstructed bayers. With the use of color information in the second stage, the quality of reconstructed bayers is further improved. Moreover, we propose a data pre-processing method including data augmentation and bayer rearrangement. The exp作者: Albumin 時間: 2025-3-31 10:07
Advances in Spatial and Network Economicsency domain, we propose a Global-Local Refinement Network (GLRN) to estimate depth residuals separately at each scale. Furthermore, to compensate for the structural information lost by coarse depth map downsampling and further optimize the results with the color image, we propose a novel and efficie作者: accessory 時間: 2025-3-31 13:36 作者: 性學(xué)院 時間: 2025-3-31 19:38
