4 papers
Occlusion-Aware Panoptic Segmentation with Joint Position Embedding and Occlusion-Level Attention
Wenbo Wei, Jun Wang, Shan Raza +1
Panoptic segmentation in complex scenes remains challenging because of occlusions, yet modern approaches often neglect occlusion modelling. In this paper, we propose Position Embed…
Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration
Jun Wang, Lixing Zhu, Xiaohan Yu +2
Learning medical visual representations from image-report pairs through joint learning has garnered increasing research attention due to its potential to alleviate the data scarcit…
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
Saif Anwar, Nathan Griffiths, Thomas Popham +1
Recent improvements in the expressive power of spatio-temporal models have led to performance gains in many real-world applications, such as traffic forecasting and social network…
COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding
Wenbo Wei, Jun Wang, Abhir Bhalerao
To help address the occlusion problem in panoptic segmentation and image understanding, this paper proposes a new large-scale dataset named COCO-OLAC (COCO Occlusion Labels for All…