忘恩负义的人
发表于 2025-3-28 14:35:00
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VAN
发表于 2025-3-28 19:20:37
Font Impression Estimation in the Wildssions and a convolutional neural network (CNN) framework for this task. However, impressions attached to individual fonts are often missing and noisy because of the subjective characteristic of font impression annotation. To realize stable impression estimation even with such a dataset, we propose
肥料
发表于 2025-3-29 00:00:42
Typographic Text Generation with Off-the-Shelf Diffusion Modelted texts render them insufficient in the realm of typographic design. This paper proposes a typographic text generation system to add and modify text on typographic designs while specifying font styles, colors, and text effects. The proposed system is a novel combination of two off-the-shelf method
动物
发表于 2025-3-29 05:59:31
Impression-CLIP: Contrastive Shape-Impression Embedding for Fontsression is weak and unstable because impressions are subjective. To capture such weak and unstable cross-modal correlation between font shapes and their impressions, we propose Impression-CLIP, which is a novel machine-learning model based on CLIP (Contrastive Language-Image Pre-training). By using
敲竹杠
发表于 2025-3-29 08:17:07
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hypotension
发表于 2025-3-29 14:52:55
Script Identification in the Wild with FFT-Multi-grained Mix Attention Transformerfferent scripts. Specifically, scene text-based script identification is challenged by inter-language similarities, complex backgrounds, and diverse text styles. To address the above problem, we use FFT Block to map the token to the frequency domain and decompose it into multiple frequency component
arbiter
发表于 2025-3-29 15:47:57
SAGHOG: Self-supervised Autoencoder for Generating HOG Features for Writer Retrievalg involves the application of the Segment Anything technique to extract handwriting from various datasets, ending up with about 24k documents, followed by training a vision transformer on reconstructing masked patches of the handwriting. . is then finetuned by appending NetRVLAD as an encoding layer
全国性
发表于 2025-3-29 22:09:03
Analysis of the Calibration of Handwriting Text Recognition Modelsable when facing new data. In this context, it is essential to correctly estimate an approximate error of the target predictions. To achieve this, the model must be well calibrated, meaning that the confidence values are sufficiently representative of the expected accuracy. Calibration is a crucial
Fierce
发表于 2025-3-30 02:15:13
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mutineer
发表于 2025-3-30 07:52:25
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