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

Comments: IEEE Transactions on Multimedia 2026

Journal ref: IEEE Transactions on Multimedia, vol. 28, pp. 5021-5035, 2026

DOI: 10.1109/TMM.2026.3664953

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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

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

Terminology

Sources

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