zero-shot image classification

A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks CVPR 2026 Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition CVPR 2026 Learning the Power of "No": Foundation Models with Negations WACV 2025 Bridge the Modality and Capability Gaps in Vision-Language Model Selection NeurIPS 2024 InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks CVPR 2024 MoDE: CLIP Data Experts via Clustering CVPR 2024 Retrieval-enriched zero-shot image classification in low-resource domains EMNLP 2024 Semantically-Prompted Language Models Improve Visual Descriptions NAACL 2024 GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training ICCV 2023 I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification CVPR 2023 Improving CLIP Training with Language Rewrites NeurIPS 2023 Learning from Children: Improving Image-Caption Pretraining via Curriculum ACL 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval ICCV 2023 What Does a Platypus Look Like? Generating Customized Prompts for Zero-Shot Image Classification ICCV 2023 FILIP: Fine-grained Interactive Language-Image Pre-Training ICLR 2022 TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training NeurIPS 2022 Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision ICML 2021