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zero-shot-classification

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Showing 351–400 of 422 papers

TitleStatusHype
MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations—0
MEDBind: Unifying Language and Multimodal Medical Data Embeddings—0
MixNorm: Test-Time Adaptation Through Online Normalization Estimation—0
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training—0
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use—0
Multi-label Zero-Shot Audio Classification with Temporal Attention—0
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge—0
Multi-modal Relation Distillation for Unified 3D Representation Learning—0
Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio—0
NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics—0
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science—0
Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings—0
NLIP: Noise-robust Language-Image Pre-training—0
Open Vocabulary Extreme Classification Using Generative Models—0
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering—0
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection—0
Performance Variability in Zero-Shot Classification—0
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme—0
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science—0
Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study—0
PRG: Prompt-Based Distillation Without Annotation via Proxy Relational Graph—0
Probabilistic Zero-shot Classification with Semantic Rankings—0
Progressive Local Alignment for Medical Multimodal Pre-training—0
Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection—0
Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian—0
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations—0
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining—0
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability—0
RECLIP: Resource-efficient CLIP by Training with Small Images—0
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation—0
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning—0
Refining CLIP's Spatial Awareness: A Visual-Centric Perspective—0
Relation-based Generalized Zero-shot Classification with the Domain Discriminator on the shared representation—0
ResiDual Transformer Alignment with Spectral Decomposition—0
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
S^3: Synonymous Semantic Space for Improving Zero-Shot Generalization of Vision-Language Models—0
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection—0
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models—0
Selective Zero-Shot Classification with Augmented Attributes—0
Semantic Borrowing for Generalized Zero-Shot Learning—0
Semantic Compositions Enhance Vision-Language Contrastive Learning—0
Semantic Graph for Zero-Shot Learning—0
Semantic Softmax Loss for Zero-Shot Learning—0
Semi-Supervised Zero-Shot Classification With Label Representation Learning—0
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features—0
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders—0
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
SLANT: Spurious Logo ANalysis Toolkit—0
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification—0
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