1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2021
SOIT: Segmenting Objects with Instance-Aware Transformers
Xiaodong Yu, Dahu Shi, Xing Wei +3
This paper presents an end-to-end instance segmentation framework, termed SOIT, that Segments Objects with Instance-aware Transformers. Inspired by DETR \cite{carion2020end}, our m…
cs.CL2021★ 1 cited
FastSeq: Make Sequence Generation Faster
Yu Yan, Fei Hu, Jiusheng Chen +7
Transformer-based models have made tremendous impacts in natural language generation. However the inference speed is a bottleneck due to large model size and intensive computing in…