AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Metzen, Jan Hendrik, Saranrittichai, Piyapat, Mummadi, Chaithanya Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
by: An, Bang, et al.
Published: (2023)
by: An, Bang, et al.
Published: (2023)
AutoVDC: Automated Vision Data Cleaning Using Vision-Language Models
by: Vasa, Santosh, et al.
Published: (2025)
by: Vasa, Santosh, et al.
Published: (2025)
Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024)
by: Martin, Ségolène, et al.
Published: (2024)
A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
by: Kim, Yoon Jo, et al.
Published: (2026)
by: Kim, Yoon Jo, et al.
Published: (2026)
ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection
by: Ma, Ke, et al.
Published: (2025)
by: Ma, Ke, et al.
Published: (2025)
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models
by: Salman, Shaeke, et al.
Published: (2024)
by: Salman, Shaeke, et al.
Published: (2024)
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data
by: Popp, Niclas, et al.
Published: (2024)
by: Popp, Niclas, et al.
Published: (2024)
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
by: Sun, Zeyi, et al.
Published: (2024)
by: Sun, Zeyi, et al.
Published: (2024)
Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2026)
by: Aqeel, Muhammad, et al.
Published: (2026)
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
by: Sui, Elaine, et al.
Published: (2024)
by: Sui, Elaine, et al.
Published: (2024)
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
by: Dafnis, Konstantinos M., et al.
Published: (2025)
by: Dafnis, Konstantinos M., et al.
Published: (2025)
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
by: Bao, Han, et al.
Published: (2024)
by: Bao, Han, et al.
Published: (2024)
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis
by: Nagar, Aishik, et al.
Published: (2024)
by: Nagar, Aishik, et al.
Published: (2024)
Visual Language Models as Zero-Shot Deepfake Detectors
by: Pirogov, Viacheslav
Published: (2025)
by: Pirogov, Viacheslav
Published: (2025)
Label-free Neural Semantic Image Synthesis
by: Wang, Jiayi, et al.
Published: (2024)
by: Wang, Jiayi, et al.
Published: (2024)
ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification
by: Kittler, Florian, et al.
Published: (2026)
by: Kittler, Florian, et al.
Published: (2026)
Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models
by: Sbrolli, Cristian, et al.
Published: (2026)
by: Sbrolli, Cristian, et al.
Published: (2026)
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology
by: Yeganeh, Yousef, et al.
Published: (2025)
by: Yeganeh, Yousef, et al.
Published: (2025)
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
by: Schlarmann, Christian, et al.
Published: (2024)
by: Schlarmann, Christian, et al.
Published: (2024)
Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss
by: Shipard, Jordan, et al.
Published: (2024)
by: Shipard, Jordan, et al.
Published: (2024)
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
by: Kim, Hyunjae, et al.
Published: (2024)
by: Kim, Hyunjae, et al.
Published: (2024)
DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities
by: Shaik, Nagur Shareef, et al.
Published: (2025)
by: Shaik, Nagur Shareef, et al.
Published: (2025)
On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning''
by: Bakker, Hua Chang, et al.
Published: (2025)
by: Bakker, Hua Chang, et al.
Published: (2025)
FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
by: Xie, Chunyu, et al.
Published: (2025)
by: Xie, Chunyu, et al.
Published: (2025)
ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models
by: Zhang, Haoyu, et al.
Published: (2025)
by: Zhang, Haoyu, et al.
Published: (2025)
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, et al.
Published: (2024)
Attention Is All You Need For Mixture-of-Depths Routing
by: Gadhikar, Advait, et al.
Published: (2024)
by: Gadhikar, Advait, et al.
Published: (2024)
Zero-Shot, But at What Cost? Unveiling the Hidden Overhead of MILS's LLM-CLIP Framework for Image Captioning
by: Benhammou, Yassir, et al.
Published: (2025)
by: Benhammou, Yassir, et al.
Published: (2025)
VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events
by: Bhat, Mohammad Qazim, et al.
Published: (2026)
by: Bhat, Mohammad Qazim, et al.
Published: (2026)
Nested AutoRegressive Models
by: Wu, Hongyu, et al.
Published: (2025)
by: Wu, Hongyu, et al.
Published: (2025)
Language-Driven Anchors for Zero-Shot Adversarial Robustness
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
Efficient Few-Shot Learning in Remote Sensing: Fusing Vision and Vision-Language Models
by: Chua, Jia Yun, et al.
Published: (2025)
by: Chua, Jia Yun, et al.
Published: (2025)
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
by: Stangl, Kevin, et al.
Published: (2024)
by: Stangl, Kevin, et al.
Published: (2024)
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
by: Li, Shengze, et al.
Published: (2024)
by: Li, Shengze, et al.
Published: (2024)
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity
by: Xu, Zhenlin, et al.
Published: (2023)
by: Xu, Zhenlin, et al.
Published: (2023)
ZSPAPrune: Zero-Shot Prompt-Aware Token Pruning for Vision-Language Models
by: Zhang, Pu, et al.
Published: (2025)
by: Zhang, Pu, et al.
Published: (2025)
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
by: Bendou, Yassir, et al.
Published: (2024)
by: Bendou, Yassir, et al.
Published: (2024)
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy
by: Wang, Chunnan, et al.
Published: (2022)
by: Wang, Chunnan, et al.
Published: (2022)
SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
by: Li, Zekun, et al.
Published: (2026)
by: Li, Zekun, et al.
Published: (2026)
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
by: Kumbong, Hermann, et al.
Published: (2025)
by: Kumbong, Hermann, et al.
Published: (2025)
Similar Items
-
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
by: An, Bang, et al.
Published: (2023) -
AutoVDC: Automated Vision Data Cleaning Using Vision-Language Models
by: Vasa, Santosh, et al.
Published: (2025) -
Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024) -
A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
by: Kim, Yoon Jo, et al.
Published: (2026) -
ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection
by: Ma, Ke, et al.
Published: (2025)