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Found 2 papers, 1 papers with code
Learning Camouflaged Object Detection from Noisy Pseudo Label
Existing Camouflaged Object Detection (COD) methods rely heavily on large-scale pixel-annotated training sets, which are both time-consuming and labor-intensive.
KD-SCFNet: Towards More Accurate and Efficient Salient Object Detection via Knowledge Distillation
Most existing salient object detection (SOD) models are difficult to apply due to the complex and huge model structures.
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