1 citations · 4 across the 10 of their papers we have counts for
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DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models
Peng Tang, Pengkai Zhu, Tian Li +3
Encoder-decoder transformer models have achieved great success on various vision-language (VL) tasks, but they suffer from high inference latency. Typically, the decoder takes up m…
Multiple-Question Multiple-Answer Text-VQA
Peng Tang, Srikar Appalaraju, R. Manmatha +2
We present Multiple-Question Multiple-Answer (MQMA), a novel approach to do text-VQA in encoder-decoder transformer models. The text-VQA task requires a model to answer a question…
A Multi-Modal Multilingual Benchmark for Document Image Classification
Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran +3
Document image classification is different from plain-text document classification and consists of classifying a document by understanding the content and structure of documents su…