Knowledge distillation (KD) has shown potential for learning compact mod...
Recently, deep learning methods have been widely used for tumor segmenta...
Deep learning (DL) has proven highly effective for ultrasound-based
comp...
Although the impressive performance in visual grounding, the prevailing
...
End-to-end text spotting has attached great attention recently due to it...
NER model has achieved promising performance on standard NER benchmarks....
Few-shot learning (FSL) aims to learn models that generalize to novel cl...
Table structure recognition is a challenging task due to the various
str...
Document layout analysis is crucial for understanding document structure...
Ever since its first release in 2009, the Go programming language (Golan...
Recently end-to-end scene text spotting has become a popular research to...
Since real-world ubiquitous documents (e.g., invoices, tickets, resumes ...
Many approaches have recently been proposed to detect irregular scene te...
While most deployed speech recognition systems today still run on server...
We introduce NAMSG, an adaptive first-order algorithm for training neura...