Restoring without Forgetting: Filter-Level Continual Image Restoration via Parameter-Space Integrated Gradients

arXiv:2609.38591 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/funkdub/RwF

Terminology

• Continual Learning — 29× in this paper · explained in 2 episodes
• Filter Bank — 18× in this paper
• Adaptation — 17× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 13× in this paper · explained in 5 episodes
• Cross-Task Attention — 8× in this paper
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Contrastive Learning — 7× in this paper · explained in 5 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Loss Function — 4× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Besides the Sequential Fine-Tuning — 1× in this paper
• Composite Loss Function — 1× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Exponential Moving Average — 1× in this paper
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Filter-level Localization — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Over-smoothing — 1× in this paper · explained in 4 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Revisiting the Integrated Gradient — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Vision Transformer Adapter for Dense Predictions
• Towards Robust Evaluations of Continual Learning
• An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
• Decoupled Weight Decay Regularization
• Recent Advances of Continual Learning in Computer Vision: An Overview
• Progressive Neural Networks

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