Search Results - "Šulc, Milan"

Fine-grained recognition of plants from images by Šulc, Milan, Matas, Jiří

“…Fine-grained recognition of plants from images is a challenging computer vision task, due to the diverse appearance and complex structure of plants, high…”
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Automatic Fungi Recognition: Deep Learning Meets Mycology by Picek, Lukáš, Šulc, Milan, Matas, Jiří, Heilmann-Clausen, Jacob, Jeppesen, Thomas S, Lind, Emil

“…The article presents an AI-based fungi species recognition system for a citizen-science community. The system's real-time identification too - FungiVision -…”
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Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings by Picek, Lukáš, Šulc, Milan, Patel, Yash, Matas, Jiří

“…The article reviews and benchmarks machine learning methods for automatic image-based plant species recognition and proposes a novel retrieval-based method for…”
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Rozpoznávání Rostlin a Hub z Obrázků by Šulc, Milan

“…The thesis contributes to fine-grained recognition of plant and fungi species from images, ranging from scans and photos of leaves and bark taken in controlled…”
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Text Detection Forgot About Document OCR by Olejniczak, Krzysztof, Šulc, Milan

“…Detection and recognition of text from scans and other images, commonly denoted as Optical Character Recognition (OCR), is a widely used form of automated…”
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The Hitchhiker's Guide to Prior-Shift Adaptation by Sipka, Tomas, Sulc, Milan, Matas, Jiri

“…In many computer vision classification tasks, class priors at test time often differ from priors on the training set. In the case of such prior shift,…”
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DocILE 2023 Teaser: Document Information Localization and Extraction by Šimsa, Štěpán, Šulc, Milan, Skalický, Matyáš, Patel, Yash, Hamdi, Ahmed

“…The lack of data for information extraction (IE) from semi-structured business documents is a real problem for the IE community. Publications relying on…”
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GLAMI-1M: A Multilingual Image-Text Fashion Dataset by Kosar, Vaclav, Hoskovec, Antonín, Šulc, Milan, Bartyzal, Radek

“…We introduce GLAMI-1M: the largest multilingual image-text classification dataset and benchmark. The dataset contains images of fashion products with item…”
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Business Document Information Extraction: Towards Practical Benchmarks by Skalický, Matyáš, Šimsa, Štěpán, Uřičář, Michal, Šulc, Milan

“…Information extraction from semi-structured documents is crucial for frictionless business-to-business (B2B) communication. While machine learning problems…”
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Danish Fungi 2020 - Not Just Another Image Recognition Dataset by Picek, Lukas, Sulc, Milan, Matas, Jiri, Jeppesen, Thomas S., Heilmann-Clausen, Jacob, Lassoe, Thomas, Froslev, Tobias

“…We introduce a novel fine-grained dataset and bench-mark, the Danish Fungi 2020 (DF20). The dataset, constructed from observations submitted to the Atlas of…”
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Danish Fungi 2020 -- Not Just Another Image Recognition Dataset by Picek, Lukáš, Šulc, Milan, Matas, Jiří, Heilmann-Clausen, Jacob, Jeppesen, Thomas S, Læssøe, Thomas, Frøslev, Tobias

“…We introduce a novel fine-grained dataset and benchmark, the Danish Fungi 2020 (DF20). The dataset, constructed from observations submitted to the Atlas of…”
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DocILE Benchmark for Document Information Localization and Extraction by Šimsa, Štěpán, Šulc, Milan, Uřičář, Michal, Patel, Yash, Hamdi, Ahmed, Kocián, Matěj, Skalický, Matyáš, Matas, Jiří, Doucet, Antoine, Coustaty, Mickaël, Karatzas, Dimosthenis

“…This paper introduces the DocILE benchmark with the largest dataset of business documents for the tasks of Key Information Localization and Extraction and Line…”
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Fungi Recognition: A Practical Use Case by Sulc, Milan, Picek, Lukas, Matas, Jiri, Jeppesen, Thomas S., Heilmann-Clausen, Jacob

“…The paper presents a system for visual recognition of 1394 fungi species based on deep convolutional neural networks and its deployment in a citizen-science…”
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Improving CNN Classifiers by Estimating Test-Time Priors by Sulc, Milan, Matas, Jiri

“…The problem of different training and test set class priors is addressed in the context of CNN classifiers. We compare two approaches to the estimation of the…”
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FungiTastic: A multi-modal dataset and benchmark for image categorization by Picek, Lukas, Janouskova, Klara, Sulc, Milan, Matas, Jiri

“…We introduce a new, challenging benchmark and a dataset, FungiTastic, based on fungal records continuously collected over a twenty-year span. The dataset is…”
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Improving CNN classifiers by estimating test-time priors by Sulc, Milan, Matas, Jiri

“…The problem of different training and test set class priors is addressed in the context of CNN classifiers. We compare two different approaches to estimating…”
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The Hitchhiker's Guide to Prior-Shift Adaptation by Sipka, Tomas, Sulc, Milan, Matas, Jiri

“…In many computer vision classification tasks, class priors at test time often differ from priors on the training set. In the case of such prior shift,…”
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Contrastive Classification and Representation Learning with Probabilistic Interpretation by Aljundi, Rahaf, Patel, Yash, Sulc, Milan, Olmeda, Daniel, Chumerin, Nikolay

“…Cross entropy loss has served as the main objective function for classification-based tasks. Widely deployed for learning neural network classifiers, it shows…”
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Kernel-mapped histograms of multi-scale LBPs for tree bark recognition by Sulc, Milan, Matas, Jiri

“…We propose a novel method for tree bark identification by SVM classification of feature-mapped multi-scale descriptors formed by concatenated histograms of…”
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