2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
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…
cs.CV2022★ 2 cited
Fine-grained Few-shot Recognition by Deep Object Parsing
Ruizhao Zhu, Pengkai Zhu, Samarth Mishra +1
We propose a new method for fine-grained few-shot recognition via deep object parsing. In our framework, an object is made up of K distinct parts and for each part, we learn a dict…