Enhancing CLIP Conceptual Embedding through Knowledge Distillation
Fuente:
arXiv
Saved in:
| Main Author: | Kao, Kuei-Chun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
by: Kao, Kuei-Chun, et al.
Published: (2026)
by: Kao, Kuei-Chun, et al.
Published: (2026)
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
by: Garg, Rahul, et al.
Published: (2024)
by: Garg, Rahul, et al.
Published: (2024)
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
by: Kao, Kuei-Chun, et al.
Published: (2025)
by: Kao, Kuei-Chun, et al.
Published: (2025)
SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding
by: Wu, Chang-Hsun, et al.
Published: (2025)
by: Wu, Chang-Hsun, et al.
Published: (2025)
MoDE: CLIP Data Experts via Clustering
by: Ma, Jiawei, et al.
Published: (2024)
by: Ma, Jiawei, et al.
Published: (2024)
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
by: An, Bang, et al.
Published: (2023)
by: An, Bang, et al.
Published: (2023)
MobileCLIP2: Improving Multi-Modal Reinforced Training
by: Faghri, Fartash, et al.
Published: (2025)
by: Faghri, Fartash, et al.
Published: (2025)
BiCLIP: Domain Canonicalization via Structured Geometric Transformation
by: Mantini, Pranav, et al.
Published: (2026)
by: Mantini, Pranav, et al.
Published: (2026)
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
by: Wang, Enguang, et al.
Published: (2024)
by: Wang, Enguang, et al.
Published: (2024)
Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP
by: Eslami, Sedigheh, et al.
Published: (2024)
by: Eslami, Sedigheh, et al.
Published: (2024)
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
by: Huang, Hanxun, et al.
Published: (2025)
by: Huang, Hanxun, et al.
Published: (2025)
KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models
by: Mohbat, Fnu, et al.
Published: (2025)
by: Mohbat, Fnu, et al.
Published: (2025)
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models
by: Hossain, Md Zarif, et al.
Published: (2024)
by: Hossain, Md Zarif, et al.
Published: (2024)
Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View
by: Song, Zijia, et al.
Published: (2024)
by: Song, Zijia, et al.
Published: (2024)
Memorization In Stable Diffusion Is Unexpectedly Driven by CLIP Embeddings
by: Kim, Bumjun, et al.
Published: (2026)
by: Kim, Bumjun, et al.
Published: (2026)
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
by: Parchami-Araghi, Amin, et al.
Published: (2024)
by: Parchami-Araghi, Amin, et al.
Published: (2024)
ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
by: Byun, Ye Won, et al.
Published: (2024)
by: Byun, Ye Won, et al.
Published: (2024)
Data or Language Supervision: What Makes CLIP Better than DINO?
by: Liu, Yiming, et al.
Published: (2025)
by: Liu, Yiming, et al.
Published: (2025)
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
by: Mehta, Sachin, et al.
Published: (2024)
by: Mehta, Sachin, et al.
Published: (2024)
Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification
by: Gouidis, Filippos, et al.
Published: (2024)
by: Gouidis, Filippos, et al.
Published: (2024)
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
by: Kim, Sanghwan, et al.
Published: (2024)
by: Kim, Sanghwan, et al.
Published: (2024)
Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods
by: Cheng, Jiali, et al.
Published: (2025)
by: Cheng, Jiali, et al.
Published: (2025)
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
by: Gupta, Akash, et al.
Published: (2025)
by: Gupta, Akash, et al.
Published: (2025)
Learning Generalizable Prompt for CLIP with Class Similarity Knowledge
by: Jung, Sehun, et al.
Published: (2025)
by: Jung, Sehun, et al.
Published: (2025)
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
by: Wei, Lai, et al.
Published: (2026)
by: Wei, Lai, et al.
Published: (2026)
Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation
by: Lee, Sua, et al.
Published: (2025)
by: Lee, Sua, et al.
Published: (2025)
VLCD: Vision-Language Contrastive Distillation for Accurate and Efficient Automatic Placenta Analysis
by: Mehta, Manas, et al.
Published: (2025)
by: Mehta, Manas, et al.
Published: (2025)
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
by: Lu, Shiyin, et al.
Published: (2024)
by: Lu, Shiyin, et al.
Published: (2024)
TaxaBind: A Unified Embedding Space for Ecological Applications
by: Sastry, Srikumar, et al.
Published: (2024)
by: Sastry, Srikumar, et al.
Published: (2024)
Physical Property Understanding from Language-Embedded Feature Fields
by: Zhai, Albert J., et al.
Published: (2024)
by: Zhai, Albert J., et al.
Published: (2024)
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
by: Zhou, Mingyuan, et al.
Published: (2024)
by: Zhou, Mingyuan, et al.
Published: (2024)
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
by: Deng, Ailin, et al.
Published: (2024)
by: Deng, Ailin, et al.
Published: (2024)
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
by: Yuan, Qianhao, et al.
Published: (2026)
by: Yuan, Qianhao, et al.
Published: (2026)
Layerwise Change of Knowledge in Neural Networks
by: Cheng, Xu, et al.
Published: (2024)
by: Cheng, Xu, et al.
Published: (2024)
IDEA: Image Description Enhanced CLIP-Adapter
by: Ye, Zhipeng, et al.
Published: (2025)
by: Ye, Zhipeng, et al.
Published: (2025)
Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates
by: Ahn, Jaewoo, et al.
Published: (2025)
by: Ahn, Jaewoo, et al.
Published: (2025)
FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering
by: Abaskohi, Amirhossein, et al.
Published: (2024)
by: Abaskohi, Amirhossein, et al.
Published: (2024)
RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation
by: Cao, Yuefan, et al.
Published: (2025)
by: Cao, Yuefan, et al.
Published: (2025)
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
by: Lan, Zhibin, et al.
Published: (2025)
by: Lan, Zhibin, et al.
Published: (2025)
Dynamic Temperature Knowledge Distillation
by: Wei, Yukang, et al.
Published: (2024)
by: Wei, Yukang, et al.
Published: (2024)
Similar Items
-
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
by: Kao, Kuei-Chun, et al.
Published: (2026) -
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
by: Garg, Rahul, et al.
Published: (2024) -
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
by: Kao, Kuei-Chun, et al.
Published: (2025) -
SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding
by: Wu, Chang-Hsun, et al.
Published: (2025) -
MoDE: CLIP Data Experts via Clustering
by: Ma, Jiawei, et al.
Published: (2024)