Search Results for author:
Found 5 papers, 3 papers with code
Simple Open-Vocabulary Object Detection with Vision Transformers
Combining simple architectures with large-scale pre-training has led to massive improvements in image classification.
Ranked #1 on
One-Shot Object Detection
on MS COCO
Global Self-Attention Networks
Based on the proposed GSA module, we introduce new standalone global attention-based deep networks that use GSA modules instead of convolutions to model pixel interactions.
Global Self-Attention Networks for Image Recognition
Based on the proposed GSA module, we introduce new standalone global attention-based deep networks that use GSA modules instead of convolutions to model pixel interactions.
Fast Video Object Segmentation using the Global Context Module
Therefore, it uses constant memory regardless of the video length and costs substantially less memory and computation.
Efficient Attention: Attention with Linear Complexities
Dot-product attention has wide applications in computer vision and natural language processing.
Ranked #2 on
Extractive Text Summarization
on GovReport
