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zero-shot-classification

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TitleStatusHype
Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography—0
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification—0
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment—0
Contrastive Adapters for Foundation Model Group Robustness—0
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents—0
Correction Networks: Meta-Learning for Zero-Shot Learning—0
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging—0
COSTA: Co-Occurrence Statistics for Zero-Shot Classification—0
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels—0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning—0
Dataset Mention Extraction and Classification—0
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions—0
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning—0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models—0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability—0
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation—0
Divergence-Based Domain Transferability for Zero-Shot Classification—0
EEG-Language Modeling for Pathology Detection—0
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective—0
Effective Few-Shot Classification with Transfer Learning—0
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models—0
Efficient Test-Time Prompt Tuning for Vision-Language Models—0
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