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Train object detector by labeling only 1 point of object with NSS

Train object detector by labeling only 1 point of object with NSS


Weakly-Supervised Salient Object Detection Using Point Supervison



Current ... saliency detection models rely ... on large datasets of accurate pixel-wise annotations, but manually labeling pixels is time-consuming


... some weakly supervised methods ... alleviating the problem, such as image label, bounding box label, and scribble label


... propose a novel weakly-supervised salient object detection method using point supervision. ... first design an adaptive masked flood filling algorithm to generate pseudo labels.


... develop a transformer-based point-supervised saliency detection model to produce the first round of saliency maps.


... propose a Non-Salient Suppression (NSS) method to optimize the erroneous saliency maps generated in the first round and leverage them for the second round of training.


... method outperforms ... state-of-the-art methods trained with the stronger supervision and even surpass several fully supervised state-of-the-art models. ...



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