標(biāo)題: Titlebook: Computer Analysis of Images and Patterns; 20th International C Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay Conference proceedings 20 [打印本頁(yè)] 作者: Thoracic 時(shí)間: 2025-3-21 19:40
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)學(xué)科排名
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Analysis of Images and Patterns被引頻次
書目名稱Computer Analysis of Images and Patterns被引頻次學(xué)科排名
書目名稱Computer Analysis of Images and Patterns年度引用
書目名稱Computer Analysis of Images and Patterns年度引用學(xué)科排名
書目名稱Computer Analysis of Images and Patterns讀者反饋
書目名稱Computer Analysis of Images and Patterns讀者反饋學(xué)科排名
作者: Hemiplegia 時(shí)間: 2025-3-21 22:40
978-3-031-44236-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 真 時(shí)間: 2025-3-22 04:25
Robert E. Molzon,Bernard Shiffmanry and multi-class pedestrian attributes from images. This topic is recently attracting a great interest of various research groups due to the variety of applications in the field of forensics, digital signage, social robotics, people tracking and multi-camera person re-identification. Multi-task le作者: 青石板 時(shí)間: 2025-3-22 04:54 作者: 上腭 時(shí)間: 2025-3-22 08:54 作者: Pruritus 時(shí)間: 2025-3-22 16:18
https://doi.org/10.1007/BFb0078520tructures of the respiratory and cardiovascular system. These problems can be caused by a variety of conditions, such as respiratory infections, lung conditions, heart conditions, autoimmune diseases, or anxiety disorders, and can vary in symptoms and severity. In this paper, we introduce a supervis作者: Pruritus 時(shí)間: 2025-3-22 19:41 作者: anticipate 時(shí)間: 2025-3-22 23:17 作者: HEDGE 時(shí)間: 2025-3-23 01:30
https://doi.org/10.1007/BFb0074534main. Over the years, various approaches have investigated them by considering detection and language identification as separate problem statements. To the best of our knowledge, scene text datasets with minority Indic languages are not yet available. To this end, we created a scene image dataset ca作者: 存心 時(shí)間: 2025-3-23 07:13 作者: 共同給與 時(shí)間: 2025-3-23 13:21 作者: 割讓 時(shí)間: 2025-3-23 14:52
,Report on normal bundles of curves in ?3,dataset with around 2000 new annotations, and analyze 1) the effect of different data augmentation techniques on learning the skin lesion symmetry classification task, and 2) how the learning of this task is affected when combined with the classification of its malignancy in a multitask learning env作者: 必死 時(shí)間: 2025-3-23 18:12 作者: lavish 時(shí)間: 2025-3-24 00:44 作者: CREST 時(shí)間: 2025-3-24 04:40 作者: WATER 時(shí)間: 2025-3-24 09:45
https://doi.org/10.1007/BFb0099500ess of acquiring such real-world data is laborious, prompting the exploration of new research directions such as synthetic data generation. In this study, we assess the capability of two distinct synthetic data generating techniques utilising stable diffusion, namely, (1) Prompt engineering of an es作者: 鈍劍 時(shí)間: 2025-3-24 11:21
Dimension formulas related to a tame quiver,rpretable and efficient texture classification framework that considers colour or channel information and does not require much data to produce accurate results. Therefore, such a classifier can be suitable for medical applications and resource-limited hardware. We base our work on a Generalized Mat作者: 最有利 時(shí)間: 2025-3-24 15:30 作者: lanugo 時(shí)間: 2025-3-24 21:52 作者: Initiative 時(shí)間: 2025-3-25 02:13 作者: Albinism 時(shí)間: 2025-3-25 06:48
,Report on normal bundles of curves in ?3,approximately 7.7% for B.Acc and Precision, 8.0% for Recall and F1-score, and 15.08% for the Kappa score. Moreover, we show that symmetry classification benefits from the introduction of an auxiliary task by stabilizing the learning curve and decreasing the train-validation learning gap.作者: 奴才 時(shí)間: 2025-3-25 11:00
Dimension formulas related to a tame quiver, designs on two data sets emphasising the role of the dissimilarity measure used. We demonstrate that our extension of parametrized angle dissimilarity measure leads to better model generalization and improved robustness against varying lighting conditions than its Euclidean counterpart.作者: impaction 時(shí)間: 2025-3-25 14:26 作者: BLANC 時(shí)間: 2025-3-25 16:54
Towards Robust Colour Texture Classification with?Limited Training Data designs on two data sets emphasising the role of the dissimilarity measure used. We demonstrate that our extension of parametrized angle dissimilarity measure leads to better model generalization and improved robustness against varying lighting conditions than its Euclidean counterpart.作者: grudging 時(shí)間: 2025-3-25 22:05 作者: 咯咯笑 時(shí)間: 2025-3-26 03:15 作者: 經(jīng)典 時(shí)間: 2025-3-26 05:06
Conference proceedings 2023er 2023.??. The 54 full papers presented were carefully reviewed and selected from 67 submissions.?They were organized?in the following section as follows:.Part I-:PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object?Recognition and Segmentation..Part II : Bio作者: –吃 時(shí)間: 2025-3-26 11:50 作者: 不愛防注射 時(shí)間: 2025-3-26 15:35
Conference proceedings 2023lows:.Part I-:PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object?Recognition and Segmentation..Part II : Biometrics- Human Pose Estimation- Action Recognition; Biomedical Image and Pattern Analysis; and General Vision- AI Applications..作者: 歸功于 時(shí)間: 2025-3-26 17:33
J. M. Goursaud,J. L. Pascaud,J. Valetteributes to closing this gap and systematically discusses the relevant issues of generalized median computation. In particular, we present a taxonomy of computation frameworks and methods. We also outline a number of future research directions.作者: 哀求 時(shí)間: 2025-3-27 00:57
Robert E. Molzon,Bernard Shiffmannd lower clothes color, gender, bag, hat. The submitted methods will be evaluated in terms of mean accuracy over a private test set, including more than 20,000 images without overlaps in terms of subjects and scenarios with respect to training and validation sets. The baseline results, reported in t作者: 下邊深陷 時(shí)間: 2025-3-27 03:12 作者: 放縱 時(shí)間: 2025-3-27 08:00
,Intersections d’anneaux integres (II),de the search using true rankings of candidates by training each from scratch. However, it is computationally infeasible for existing search strategies to navigate huge search spaces and determine accurate rankings at the same time. Therefore, we propose a novel search space and an efficient search 作者: initiate 時(shí)間: 2025-3-27 13:04 作者: Ataxia 時(shí)間: 2025-3-27 16:52 作者: Harpoon 時(shí)間: 2025-3-27 18:36 作者: surrogate 時(shí)間: 2025-3-28 00:57
https://doi.org/10.1007/BFb0074534cale detection head to improve small target text detection. We also inserted an attention mechanism between the neck and head structures to concentrate on the image’s essential regions. We performed extensive experiments on the proposed dataset using various state-of-the-art techniques. Furthermore,作者: Malcontent 時(shí)間: 2025-3-28 02:09 作者: Jargon 時(shí)間: 2025-3-28 09:08 作者: 結(jié)構(gòu) 時(shí)間: 2025-3-28 14:01 作者: Recessive 時(shí)間: 2025-3-28 18:05
Dimension formulas related to a tame quiver, subject’s domain. Finally, by leveraging the lossy compression of the VAE network, the model may be used as a signal pre-processing step towards domain generalisation of the training data. Our results obtained classification accuracy significantly above previous benchmarks while reducing the amount作者: 南極 時(shí)間: 2025-3-28 20:50 作者: Perineum 時(shí)間: 2025-3-28 23:57 作者: machination 時(shí)間: 2025-3-29 06:04
PAR Contest 2023: Pedestrian Attributes Recognition with?Multi-task Learningnd lower clothes color, gender, bag, hat. The submitted methods will be evaluated in terms of mean accuracy over a private test set, including more than 20,000 images without overlaps in terms of subjects and scenarios with respect to training and validation sets. The baseline results, reported in t作者: 過濾 時(shí)間: 2025-3-29 10:46
Evaluation of?a?Visual Question Answering Architecture for?Pedestrian Attribute Recognition set. This combination of VQA and LLMs makes it possible to effectively analyze visual information and answer questions related to pedestrian attributes, improving the accuracy and performance of PAR systems.作者: MAG 時(shí)間: 2025-3-29 12:21 作者: 淡紫色花 時(shí)間: 2025-3-29 19:04
Explainability-Enhanced Neural Network for?Thoracic Diagnosis Improvementel agnostic technique. Our experiments showed that by using explainability results as feedback signal, we were able to increase the accuracy of the base model with more than 20% on a small medical dataset.作者: 保守黨 時(shí)間: 2025-3-29 21:13 作者: 軍火 時(shí)間: 2025-3-30 00:51 作者: BOAST 時(shí)間: 2025-3-30 06:44 作者: 開始沒有 時(shí)間: 2025-3-30 09:28 作者: 團(tuán)結(jié) 時(shí)間: 2025-3-30 13:06
Downsampling GAN for?Small Object Data Augmentationetically generated objects are inserted in the original dataset images in plausible positions without causing mismatches between foreground and background. The proposed method improves the AP. and AP. of a standard object detector in the UVDT small subset by more than 4 and 10 points, respectively.作者: 對(duì)手 時(shí)間: 2025-3-30 18:27
Robust Adversarial Defence: Use of?Auto-inpaintingut the patch. Therefore, we propose our novel adversarial defence technique in a black-box setting assuming no knowledge about the patch location, shape or its size. Furthermore, we do not rely on re-training our victim model on adversarial examples, indicating its potential usefulness for real-worl作者: 生意行為 時(shí)間: 2025-3-30 21:42
Efficient Representation Learning for?Inner Speech Domain Generalization subject’s domain. Finally, by leveraging the lossy compression of the VAE network, the model may be used as a signal pre-processing step towards domain generalisation of the training data. Our results obtained classification accuracy significantly above previous benchmarks while reducing the amount作者: Hamper 時(shí)間: 2025-3-31 01:04
Using Diffusion Models for?Dataset Generation: Prompt Engineering vs. Fine-Tuningthe baseline setting where the model was trained on real-world images and witnessed only a 0.07 and 0.08 average precision deviation from the baseline model. Qualitative results demonstrate that both models are able to accurately predict the location of the apples, except in instances of heavy shadi作者: 陶器 時(shí)間: 2025-3-31 05:40 作者: Rankle 時(shí)間: 2025-3-31 10:27
Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay
