1 code implementation • 13 Jun 2023 • Gyungin Shin, Weidi Xie, Samuel Albanie
In this paper, we propose to meet this challenge through the novel task of automatic table verification (AutoTV), in which the objective is to verify the accuracy of numerical data in tables by cross-referencing cited sources.
1 code implementation • 27 Apr 2023 • Gyungin Shin, Samuel Albanie, Weidi Xie
Segmentation is a core computer vision competency, with applications spanning a broad range of scientifically and economically valuable domains.
1 code implementation • 22 Sep 2022 • Gyungin Shin, Weidi Xie, Samuel Albanie
Our method, termed NamedMask, begins by using CLIP to construct category-specific archives of images.
2 code implementations • 14 Jun 2022 • Gyungin Shin, Weidi Xie, Samuel Albanie
Semantic segmentation has a broad range of applications, but its real-world impact has been significantly limited by the prohibitive annotation costs necessary to enable deployment.
1 code implementation • 23 Mar 2022 • Gyungin Shin, Samuel Albanie, Weidi Xie
In this paper, we tackle the challenging task of unsupervised salient object detection (SOD) by leveraging spectral clustering on self-supervised features.
Ranked #1 on Unsupervised Saliency Detection on ECSSD
2 code implementations • 13 Apr 2021 • Gyungin Shin, Weidi Xie, Samuel Albanie
A central challenge for the task of semantic segmentation is the prohibitive cost of obtaining dense pixel-level annotations to supervise model training.