IEEE25d
HSPFormer: Hierarchical Spatial Perception Transformer for Semantic Segmentation
Additionally, we design the Hierarchical Pyramid Transformer Network (HPTNet), which uses depth estimation as learnable position embeddings to form spatially correlated semantic representations and ...
BBC28d
Roads close as huge wind farm transformer moves into position
A power transformer for Inch Cape Offshore Wind Farm which could power half the houses in Scotland has been moved into place. Roads were closed in East Lothian as the super grid transformer was ...
IEEE1mon
Hybrid Attention-based Multi-task Vehicle Motion Prediction Using Non-Autoregressive Transformer and Mixture of Experts
In this paper, we introduce TAME, a novel model that integrates a Non-Autoregressive Transformer with Attention Mechanism and Mixture of Experts to address these limitations. TAME features a temporal ...
GitHub12mon
Recurrent Memory Transformer - Pytorch
Implementation of Recurrent Memory Transformer (openreview) in Pytorch. They had a short follow up paper recently that demonstrated it was able to copy information across 1 million tokens at the very ...
GitHub1y
Shijie-NLP/layer-GLAT
The config for training our model can be found under the folder config. The define of model class is in the file fairseq_plugin/models/nat/layer_glat.py ...