Asymmetric slack contrastive learning for full use of feature information in image translation

Yusen Zhang, Min Li, Yao Gou, Yujie He

Abstract: Highlights•Image translation tasks based on contrastive learning often ignore the difference between different positive/negative samples.•Our asymmetric slack contrastive learning adaptively improves the optimization efficiency of contrastive loss.•The local consistency can improve the global consistency of the generated image.•Preserving differential structural consistency can help eliminate local distortions in image translation.