reconstruction learning

MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection AAAI 2026 OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection AAAI 2026 FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection AAAI 2025 PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection CVPR 2025 Semantic Discrepancy-aware Detector for Image Forgery Identification ICCV 2025 Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition IJCAI 2024 Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024 Diversity-Measurable Anomaly Detection CVPR 2023 Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms Interspeech 2023 End-to-End Reconstruction-Classification Learning for Face Forgery Detection CVPR 2022 Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning ICCV 2021 Target-Embedding Autoencoders for Supervised Representation Learning ICLR 2020 Classification-Reconstruction Learning for Open-Set Recognition CVPR 2019