SOTAVerified

zero-shot-classification

Papers

Showing 226250 of 422 papers

TitleStatusHype
Re-Scoring Using Image-Language Similarity for Few-Shot Object DetectionCode1
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies0
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language ModelsCode1
EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression RecognitionCode1
Linear Representations of Sentiment in Large Language ModelsCode0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement0
SILC: Improving Vision Language Pretraining with Self-Distillation0
MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations0
Evaluating the Fairness of Discriminative Foundation Models in Computer VisionCode0
Estimating Uncertainty in Multimodal Foundation Models using Public Internet DataCode0
VeCLIP: Improving CLIP Training via Visual-enriched CaptionsCode2
Uni3D: Exploring Unified 3D Representation at ScaleCode2
Blind Dates: Examining the Expression of Temporality in Historical Photographs0
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift0
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor AttacksCode0
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
Telling Stories for Common Sense Zero-Shot Action RecognitionCode0
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning0
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual ClassificationCode1
Zero-Shot Visual Classification with Guided Cropping0
Mitigating Word Bias in Zero-shot Prompt-based ClassifiersCode0
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment0
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training0
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