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zero-shot-classification

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TitleStatusHype
M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient PretrainingCode0
Data-Free Generalized Zero-Shot LearningCode0
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification—0
Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss—0
Enhancing medical vision-language contrastive learning via inter-matching relation modelling—0
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Benchmarking PathCLIP for Pathology Image Analysis—0
Improved Zero-Shot Classification by Adapting VLMs with Text DescriptionsCode1
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Open-Pose 3D Zero-Shot Learning: Benchmark and ChallengesCode1
Lite-Mind: Towards Efficient and Robust Brain Representation NetworkCode1
SCLIP: Rethinking Self-Attention for Dense Vision-Language InferenceCode1
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme—0
Explaining CLIP's performance disparities on data from blind/low vision users—0
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training—0
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers—0
ViT-Lens: Towards Omni-modal RepresentationsCode1
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective—0
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models—0
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data—0
Investigating the Emergent Audio Classification Ability of ASR Foundation ModelsCode0
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions—0
CLAMP: A Contrastive Language And Molecule Pre-training NetworkCode0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
Generalized zero-shot audio-to-intent classification—0
Re-Scoring Using Image-Language Similarity for Few-Shot Object DetectionCode1
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies—0
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 Enhancement—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations—0
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 Photographs—0
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift—0
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 Retrieval—0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual ClassificationCode1
Zero-Shot Visual Classification with Guided Cropping—0
Mitigating Word Bias in Zero-shot Prompt-based ClassifiersCode0
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment—0
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training—0
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