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zero-shot-classification

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Showing 201–250 of 422 papers

TitleStatusHype
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning—0
Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data—0
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations—0
An Art-centric perspective on AI-based content moderation of nudity—0
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning—0
Have Large Vision-Language Models Mastered Art History?—0
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding AlignmentCode0
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular DataCode0
EEG-Language Modeling for Pathology Detection—0
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science—0
Multi-label Zero-Shot Audio Classification with Temporal Attention—0
Visual Prompt Engineering for Medical Vision Language Models in Radiology—0
Online Zero-Shot Classification with CLIPCode0
PRG: Prompt-Based Distillation Without Annotation via Proxy Relational Graph—0
XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-RaysCode0
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs—0
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination—0
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models—0
Efficient Test-Time Prompt Tuning for Vision-Language Models—0
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts—0
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate DiagnosisCode0
Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian—0
Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African PopulationsCode0
I can listen but cannot read: An evaluation of two-tower multimodal systems for instrument recognitionCode0
Multi-modal Relation Distillation for Unified 3D Representation Learning—0
ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion MapCode0
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging—0
Semantic Compositions Enhance Vision-Language Contrastive Learning—0
At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models—0
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation—0
BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM—0
Understanding Visual Concepts Across ModelsCode0
SLANT: Spurious Logo ANalysis Toolkit—0
Multi-Modal Generative Embedding Model—0
It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap—0
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding—0
Listenable Maps for Zero-Shot Audio Classifiers—0
CapS-Adapter: Caption-based MultiModal Adapter in Zero-Shot ClassificationCode0
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language ModelsCode0
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection—0
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual RepresentationsCode0
Tuning-free Universally-Supervised Semantic Segmentation—0
Stylometric Watermarks for Large Language Models—0
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks—0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA—0
The Effect of Model Size on LLM Post-hoc Explainability via LIMECode0
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval—0
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-TrainingCode0
ESP-Zero: Unsupervised enhancement of zero-shot classification for Extremely Sparse Point cloud—0
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