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Then, a spatial ag- gregation layer is designed to comprehensively integrate the character classification and the order estimation results to derive text recognition. In addition, a self-attention layer is adopted between the feature extraction stage and prediction stage to model the context.
Then, a spatial aggregation layer is designed to comprehensively integrate the character classification and the order estimation results to derive text ...
A new structure for the prediction stage is proposed to alleviate vocabulary reliance and accelerate prediction and compared with several state-of-the-art ...
On Variational Learning of Controllable Representations for Text without Supervision · Robust Scene Text Recognition Through Adaptive Image Enhancement.
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Oct 17, 2024 · Additionally, a Decoupled Temporal-Spatial Aggregation Module is designed to aggregate information from adjacent points and frames. Extensive ...
Jan 16, 2024 · In this post, we discussed the implementation of an STDR pipeline using state-of-the-art deep learning algorithms and techniques like incremental learning and ...
A dynamic texture (DT) refers to a sequence of images that exhibit spatial and temporal regularities. The modeling of DTs plays an important role in many ...
We use FPN [23] to aggregate hierarchical feature maps from the stage-3, stage-4 and stage-5 of ResNet50 [10] as the backbone network. Thus, the feature map ...
TransText: Improving scene text detection via transformer
www.sciencedirect.com › article › abs › pii
In this paper, we propose a novel text components extraction network for arbitrary shape scene text detection.
In this paper, a trajectory-based dynamic scene recognition method is proposed. A trajectory is formed by a pixel moving across consecutive frames of a video ...