vision-language model

A Unified Sequence Interface for Vision Tasks NeurIPS 2022 BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation ICML 2022 Bootstrapping a high quality multilingual multimodal dataset for Bletchley ACML 2022 CAISE: Conversational Agent for Image Search and Editing AAAI 2022 CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks NeurIPS 2022 Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation AAAI 2022 CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment ACL 2022 CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP NeurIPS 2022 Conditional Prompt Learning for Vision-Language Models CVPR 2022 Contrastive Language-Image Pre-Training with Knowledge Graphs NeurIPS 2022 Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations ACL 2022 Controlling for Stereotypes in Multimodal Language Model Evaluation EMNLP 2022 CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination NAACL 2022 CPL: Counterfactual Prompt Learning for Vision and Language Models EMNLP 2022 CRIS: CLIP-Driven Referring Image Segmentation CVPR 2022 Cross-Modal Similarity-Based Curriculum Learning for Image Captioning EMNLP 2022 Cross-modal Transfer Between Vision and Language for Protest Detection EMNLP 2022 CyCLIP: Cyclic Contrastive Language-Image Pretraining NeurIPS 2022 Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) ICML 2022 Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation ICLR 2022 Decoupling Zero-Shot Semantic Segmentation CVPR 2022 Delving into Out-of-Distribution Detection with Vision-Language Representations NeurIPS 2022 Describing Sets of Images with Textual-PCA EMNLP 2022 Distilled Dual-Encoder Model for Vision-Language Understanding EMNLP 2022 Divert More Attention to Vision-Language Tracking NeurIPS 2022