A Survey of Human-Object Interaction Detection With Deep Learning

G Han, J Zhao, L Zhang, F Deng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Human-object interaction (HOI) detection has attracted significant attention due to its wide
applications, including human-robot interactions, security monitoring, automatic sports …

Decoupling MIL Transformer-based Network for Weakly Supervised Polyp Detection

H Zhang, R Xie, S Wan, P Jin - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Colonoscopy has emerged as a crucial examination for early colorectal cancer (CRC)
diagnosis. Early detection of polyps can significantly enhance the survival rate of colorectal …

Learning Efficient Interaction Anchor for HOI Detection

L Xue, KY Huang, R Chao, JC Wu… - … on Multimedia and …, 2024 - ieeexplore.ieee.org
Human-object interaction (HOI) detection seeks complicated relationships between humans
and objects, yet struggles persist in correctly associating multiple objects with a single …

Efficient Guided Query Network for Human-Object Interaction Detection

J Li, H Lai, J Ma, T Wang, H Quan… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Recently, Transformer-based one-stage methods have demonstrated excellent efficiency in
Human-Object Interaction (HOI) tasks. However, these methods often utilize semantically …

ICLD: An Instance Contrastive Learning Domain Adaptive SAR Object Detection Network

S Wan, R Xie, R Wang, H Zhang… - 2024 IEEE 36th …, 2024 - ieeexplore.ieee.org
The feature alignment methods currently employed in domain adaptation for enhancing
model transfer ability tend to compromise the discriminative capability of the model towards …

BOAformer: Object Detection Network Based on Background-Object Attention Transformer

Y Yang, C Liang, S Huang… - 2024 6th International …, 2024 - ieeexplore.ieee.org
At present, deep learning has achieved great success in the field of object detection. To
ensure that positive samples in the image are not missed, most deep-learning object …