Test-Time Generalized Category Discovery

arXiv:2609.33937 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Adaptation — 40× in this paper · explained in 1 episode
• Alignment — 27× in this paper · explained in 1 episode
• Benchmark — 19× in this paper · explained in 2 episodes
• Generalized Category Discovery — 18× in this paper
• Accuracy — 17× in this paper · explained in 1 episode
• Embeddings — 15× in this paper · explained in 2 episodes
• Distribution Shift — 14× in this paper · explained in 5 episodes
• Test-Time Adaptation — 14× in this paper
• Clustering — 8× in this paper · explained in 2 episodes
• Domain Shift — 7× in this paper · explained in 4 episodes
• International Conference on Learning Representations — 5× in this paper
• Robustness — 5× in this paper · explained in 5 episodes
• Modality Gap — 4× in this paper · explained in 4 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Distillation — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• International Conference on Computer Vision — 3× in this paper
• Pseudo-labels — 3× in this paper · explained in 2 episodes
• Self-distillation — 3× in this paper · explained in 6 episodes
• Test-time Adaptation (TTA) — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Covariate Shift — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Pseudo-labeling — 1× in this paper · explained in 3 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP
• Test-Time Discovery via Hashing Memory
• Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
• Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
• CLIP-GCD: Simple Language Guided Generalized Category Discovery
• Moment Matching for Multi-Source Domain Adaptation
• Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
• GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
• MetaGCD: Learning to Continually Learn in Generalized Category Discovery
• Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

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