Bridging feature complementarity gap between encoder and decoder for salient object detection

Z Tan, X Gu - Digital Signal Processing, 2023 - Elsevier
Deep convolutional neural networks have pushed the resulting performances of salient
object detection to the new state-of-the-art. However, most of the existing methods mainly …

Co-saliency detection with two-stage co-attention mining and individual calibration

Z Tan, X Gu, Q Cheng - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Learning-based methods have become popular in co-salient object detection (CoSOD).
However, existing methods suffer from two challenging issues, including mining the inter …

Boosting feature-aware network for salient object detection

J Zheng, Y Gu, Y Feng, J Xu, M Zhang - International Conference on …, 2022 - Springer
Deep convolutional neural networks have demonstrated competitive performance in salient
object detection. To capture more precise saliency maps, recent approaches mainly …

A unified multiple inducible co-attentions and edge guidance network for co-saliency detection

Z Tan, X Gu - International Conference on Artificial Neural Networks, 2022 - Springer
The learning-based methods have improved the performances of co-salient object detection
(CoSOD). Mining the intra-image saliency individuals and exploring the inter-image co …

Feature recalibration network for salient object detection

Z Tan, X Gu - International Conference on Artificial Neural Networks, 2022 - Springer
Learning-based models have demonstrated the superiority of extracting and aggregating
saliency features. However, we observe that most off-the-shelf methods mainly focus on the …

A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection

Z Tan, X Gu - International Conference on Artificial Neural Networks, 2023 - Springer
Video salient object detection (VSOD) aims to segment the most attractive objects from a
video sequence. Exploring video semantics and suppressing noise objects are two …