Mar 17, 2022 · We leverage the attention mechanism and propose a simple but effective architecture named Semantic-aligned Fusion Transformer (SaFT) to resolve these issues.

To the best of our knowledge, our Semantic-aligned Fu- sion Transformer is the first to carry out the offline one- shot object detection task with proposal-free ...

To the best of our knowledge, our Semantic-aligned Fu- sion Transformer is the first to carry out the offline one- shot object detection task with proposal-free ...

This paper proposes a simple but effective architecture named Semantic-aligned Fusion Transformer (SaFT), equiping SaFT with a vertical fusion module (VFM) ...

Oct 24, 2022 · Title: Semantic-Aligned Fusion Transformer for One Shot Object Detection · Author: Yizhou Zhao et. al. · Publish Year: 2022 · Review Date: Mon, Oct ...

We leverage the attention mechanism and propose a simple but effective architecture named Semantic-aligned Fusion Transformer (SaFT) to resolve these issues.

DO NOT DISTRIBUTE. Semantic-aligned Fusion Transformer for One-shot Object Detection. Supplementary Material. Anonymous CVPR submission. Paper ID 2246. A.

One-shot object detection aims at detecting novel objects according to merely one given instance. With extreme data scarcity, current approaches explore various ...

One-shot object detection aims at detecting novel objects according to merely one given instance. With extreme data scarcity, current approaches explore ...

(arXiv 2021.04) CAT: Cross-Attention Transformer for One-Shot Object Detection, [Paper] ... (arXiv 2022.03) Semantic-aligned Fusion Transformer for One-shot ...