Eccv 2024 Cmt3. Modern interface, high scalability, extensive features and outstanding support. The following paper ids have been conditionally accepted to eccv 2024 (see email to authors for more details):
Please see the venue website for more information. The proposed smfanet consists of a shallow feature extraction module, feature modulation blocks, and a lightweight image reconstruction module.