Jul 23, 2023 · CPPD devises a character counting module to infer the occurrence count of each character, and a character ordering module to deduce the content- ...
Jul 23, 2023 · A novel scene text recognizer based on Vision-Language Transformer (VLT) is presented. Inspired by Levenshtein Transformer in the area of NLP, ...
92.6. An Empirical Study of Scaling Law for OCR. 2023. 3. CPPD. 91.7. Context Perception Parallel Decoder for Scene Text Recognition. 2023. 4. CLIP4STR-L ( ...
Consequently, we propose Context Perception Parallel Decoder (CPPD) to predict the character sequence in a PD pass. CPPD devises a character counting module to ...
639 test images instances. It is specifically designed to evaluate perspective distorted textrecognition. It is built based on the original SVT dataset by ...
Autoregressive (AR)-based STR model uses the previously recognized characters to decode the next character iteratively. It shows superiority in terms of ...
It unifies context-free non-AR and context-aware AR inference, and iterative refinement using bidirectional context. Using synthetic training data, PARSeq ...
Introduction. Paper: Context Perception Parallel Decoder for Scene Text Recognition Yongkun Du and Zhineng Chen and Caiyan Jia and Xiaoting Yin and Chenxia ...
... Scene Text Recognition with Pre-trained Vision-Language Model. 2023. 5. CPPD. 99.3. Context Perception Parallel Decoder for Scene Text Recognition. 2023. 6.
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Aug 1, 2023 · Abstract : This work aims at decreasing the end-to-end generation latency of large language models (LLMs). One of the major causes of the ...