DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual Recognition

arXiv:2502.00618 · cs.CV, cs.AI · Submitted 2026-03-21 · Read on arXiv

Chiyuan He, Zihuan Qiu, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li

cs.CV, cs.AI

Submitted: 2026-03-21

Updated: 2026-08-19

Terminology

• Continual Learning — 54× in this paper · explained in 2 episodes
• Embeddings — 53× in this paper · explained in 2 episodes
• Alignment — 16× in this paper · explained in 1 episode
• Downstream Tasks — 15× in this paper · explained in 2 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Calibration — 9× in this paper · explained in 7 episodes
• Generalization — 9× in this paper · explained in 13 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Catastrophic Forgetting — 6× in this paper · explained in 5 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Distillation — 5× in this paper · explained in 2 episodes
• Knowledge Distillation — 4× in this paper · explained in 11 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Foundation Model — 3× in this paper · explained in 3 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Decoupling — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptivity — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Chinese University of Hong Kong — 1× in this paper
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Language-Image Pretraining — 1× in this paper
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes
• World Model — 1× in this paper · explained in 7 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 3 episodes

Sources

• Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
• CLIP model is an Efficient Continual Learner
• Fine-Grained Visual Classification of Aircraft
• External Knowledge Injection for CLIP-Based Class-Incremental Learning
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Mixtral of Experts
• ClipCap: CLIP Prefix for Image Captioning
• Microsoft COCO Captions: Data Collection and Evaluation Server

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