Imagen de Portada

GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Enguang, Peng, Zhimao, Xie, Zhengyuan, Yang, Fei, Liu, Xialei, Cheng, Ming-Ming
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Sharpness-aware Dynamic Anchor Selection for Generalized Category Discovery
por: Peng, Zhimao, et al.
Publicado: (2025)

Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
por: Wang, Enguang, et al.
Publicado: (2025)

Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection
por: Peng, Zhimao, et al.
Publicado: (2025)

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
por: Cao, Xusheng, et al.
Publicado: (2025)

Generative Multi-modal Models are Good Class-Incremental Learners
por: Cao, Xusheng, et al.
Publicado: (2024)

Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
por: Xie, Zhengyuan, et al.
Publicado: (2024)

Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
por: Lu, Haori, et al.
Publicado: (2025)

Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment
por: Zhang, Ming, et al.
Publicado: (2024)

Unleashing the Potential of Model Bias for Generalized Category Discovery
por: An, Wenbin, et al.
Publicado: (2024)

NAU-QMUL: Utilizing BERT and CLIP for Multi-modal AI-Generated Image Detection
por: Guo, Xiaoyu, et al.
Publicado: (2026)

FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval
por: Xie, Jingyou, et al.
Publicado: (2024)

InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-modal Sarcasm Detection
por: Chen, Junjie, et al.
Publicado: (2024)

Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models
por: Wang, Enguang, et al.
Publicado: (2026)

Active Generalized Category Discovery
por: Ma, Shijie, et al.
Publicado: (2024)

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
por: Shi, Dachuan, et al.
Publicado: (2023)

MOS: Modeling Object-Scene Associations in Generalized Category Discovery
por: Peng, Zhengyuan, et al.
Publicado: (2025)

LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation
por: Huang, Weiquan, et al.
Publicado: (2024)

KAC: Kolmogorov-Arnold Classifier for Continual Learning
por: Hu, Yusong, et al.
Publicado: (2025)

Instruct-Imagen: Image Generation with Multi-modal Instruction
por: Hu, Hexiang, et al.
Publicado: (2024)

Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
por: Jia, Zexi, et al.
Publicado: (2025)

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
por: Patel, Maitreya, et al.
Publicado: (2024)

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models
por: Zhang, Kaichen, et al.
Publicado: (2024)

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning
por: Huang, Linlan, et al.
Publicado: (2025)

CLIP Multi-modal Hashing for Multimedia Retrieval
por: Zhu, Jian, et al.
Publicado: (2024)

Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
por: Liu, Xialei, et al.
Publicado: (2022)

Unlocking Optical Prior: Spectrum-Guided Knowledge Transfer for SAR Generalized Category Discovery
por: Xia, Jingyuan, et al.
Publicado: (2026)

Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection
por: Guo, Yixin, et al.
Publicado: (2024)

Multi-modal Document Presentation Attack Detection With Forensics Trace Disentanglement
por: Chen, Changsheng, et al.
Publicado: (2024)

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
por: Ma, Shijie, et al.
Publicado: (2024)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
por: Sun, Jinghan, et al.
Publicado: (2024)

Demystifying CLIP Data
por: Xu, Hu, et al.
Publicado: (2023)

Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP
por: Zhang, Zeliang, et al.
Publicado: (2024)

PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue
por: Vorontsov, Eugene, et al.
Publicado: (2025)

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
por: Li, Yanwei, et al.
Publicado: (2024)

VideoXum: Cross-modal Visual and Textural Summarization of Videos
por: Lin, Jingyang, et al.
Publicado: (2023)

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
por: Huang, Linlan, et al.
Publicado: (2024)

GeoWorld: Unlocking the Potential of Geometry Models to Facilitate High-Fidelity 3D Scene Generation
por: Wan, Yuhao, et al.
Publicado: (2025)

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding
por: Luo, Fuwen, et al.
Publicado: (2025)

Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection
por: Yermakov, Andrii, et al.
Publicado: (2025)

Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation
por: Pennec, Galann, et al.
Publicado: (2025)