Camouflaged Object Detection Via Adversarial Feature Learning

image-segmentation model by undefined. 8,09,867 downloads.

Unique: Integrates adversarial feature learning into the refinement pipeline, using contrastive losses to explicitly separate camouflaged object embeddings from background embeddings, rather than relying solely on appearance-based cues like traditional salient object detection methods

vs others: Achieves 5-10% higher mIoU on COD10K benchmark compared to standard segmentation models (U-Net, DeepLabv3+) by explicitly learning to overcome camouflage through adversarial training