Follow the on-screen instructions to update your softwareĭownload the Latest Version from the Official Website.Select “Help” and then “Check for updates”.Click on the menu button (three horizontal lines) in the top left corner.Make sure you have the latest version of FDM installed on your system by following these steps: The developers release regular updates to fix bugs, improve stability, and increase download speed. It’s essential to keep your software up-to-date to ensure optimal performance. Update to the Latest Version of FDM Check for Updates Regularly Alternative Download Managers to Considerġ.Choose a Reliable Source for Your Downloads Add FDM as an Exception in Your Antivirus.Check Your Antivirus and Firewall Settings Download the Latest Version from the Official Website.Than their AR counterparts, and are also among the fastest recognizers.
Moreover, they run approximately 7x faster Together with the character prediction task, they construct aĬontext that robustly tells what the character sequence is and where theĬharacters appear, well mimicking the context conveyed by AR decoding.Įxperiments on both English and Chinese benchmarks demonstrate that CPPD modelsĪchieve highly competitive accuracy. Given a text instance, the former infers the occurrence count of eachĬharacter, while the latter deduces the character reading order and CPPD devises a character counting module and a character ordering Perception Parallel Decoder (CPPD) to decode the character sequence in a single Model with the top accuracy, we find out that the success of AR decoder liesĪlso in providing guidance on visual context perception rather than language In this paper, we first present anĮmpirical study of AR decoding in STR. Robust recognition context in such a pass. Terms of inference speed but worse accuracy, as it is difficult to build a Model infers all the characters in a single decoding pass. Alternatively, parallel decoding (PD)-based STR However, the inference speed is slowĪlso due to this iteration. Previously recognized characters to decode the next character iteratively. Autoregressive (AR)-based STR model uses the Download a PDF of the paper titled Context Perception Parallel Decoder for Scene Text Recognition, by Yongkun Du and Zhineng Chen and Caiyan Jia and Xiaoting Yin and Chenxia Li and Yuning Du and Yu-Gang Jiang Download PDF Abstract: Scene text recognition (STR) methods have struggled to attain high accuracyĪnd fast inference speed.
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