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Found 3 papers, 2 papers with code
Unified Unsupervised Salient Object Detection via Knowledge Transfer
Firstly, we propose a Progressive Curriculum Learning-based Saliency Distilling (PCL-SD) mechanism to extract saliency cues from a pre-trained deep network.
M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
To overcome these, we propose the M$^3$Net, i. e., the Multilevel, Mixed and Multistage attention network for Salient Object Detection (SOD).
Ranked #2 on
RGB Salient Object Detection
on HKU-IS
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
However, the shortage of annotated training data poses a severe problem in improving the performance and generalization ability of the trained model.
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