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zero-shot-classification

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TitleStatusHype
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
SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger—0
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning—0
Stylometric Watermarks for Large Language Models—0
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning—0
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning—0
TACOS: Temporally-aligned Audio CaptiOnS for Language-Audio Pretraining—0
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding—0
Testing-Time Adaptation through Online Normalization Estimation—0
Text2Model: Text-based Model Induction for Zero-shot Image Classification—0
Text Classification in the LLM Era - Where do we stand?—0
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models—0
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