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Found 3 papers, 1 papers with code
Noise-Tolerant Unsupervised Adapter for Vision-Language Models
NtUA works as a key-value cache that formulates visual features and predicted pseudo-labels of the few-shot unlabelled target samples as key-value pairs.
DC-Net: Divide-and-Conquer for Salient Object Detection
In this paper, we introduce Divide-and-Conquer into the salient object detection (SOD) task to enable the model to learn prior knowledge that is for predicting the saliency map.
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks
Salient Object Detection (SOD) is a popular and important topic aimed at precise detection and segmentation of the interesting regions in the images.
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