โโJigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
The authors suggest a GAN-based approach for solving jigsaw puzzles. JigsawGAN is a self-supervised method with a multi-task pipeline: classification branch classifies jigsaw permutations, GAN branch recovers features to images with the correct order.
The proposed method can solve jigsaw puzzles efficiently by utilizing both semantic information and edge information simultaneously.
Paper: https://arxiv.org/abs/2101.07555
#deeplearning #jigsaw #selfsupervised #gan
The authors suggest a GAN-based approach for solving jigsaw puzzles. JigsawGAN is a self-supervised method with a multi-task pipeline: classification branch classifies jigsaw permutations, GAN branch recovers features to images with the correct order.
The proposed method can solve jigsaw puzzles efficiently by utilizing both semantic information and edge information simultaneously.
Paper: https://arxiv.org/abs/2101.07555
#deeplearning #jigsaw #selfsupervised #gan