vision-language model

Task Residual for Tuning Vision-Language Models CVPR 2023 Teaching CLIP to Count to Ten ICCV 2023 Teaching Structured Vision & Language Concepts to Vision & Language Models CVPR 2023 TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding EMNLP 2023 Text Augmented Spatial Aware Zero-shot Referring Image Segmentation EMNLP 2023 Text encoders bottleneck compositionality in contrastive vision-language models EMNLP 2023 Text Promptable Surgical Instrument Segmentation with Vision-Language Models NeurIPS 2023 Texts as Images in Prompt Tuning for Multi-Label Image Recognition CVPR 2023 Text-To-Concept (and Back) via Cross-Model Alignment ICML 2023 Text-Visual Prompting for Efficient 2D Temporal Video Grounding CVPR 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models NeurIPS 2023 Top-Down Visual Attention From Analysis by Synthesis CVPR 2023 Towards Universal Fake Image Detectors That Generalize Across Generative Models CVPR 2023 TRAK: Attributing Model Behavior at Scale ICML 2023 Transferable Decoding with Visual Entities for Zero-Shot Image Captioning ICCV 2023 Transferring General Multimodal Pretrained Models to Text Recognition ACL 2023 Tuning Multi-mode Token-level Prompt Alignment across Modalities NeurIPS 2023 Turning a CLIP Model Into a Scene Text Detector CVPR 2023 ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding CVPR 2023 Uncurated Image-Text Datasets: Shedding Light on Demographic Bias CVPR 2023 Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data AISTATS 2023 Understanding Zero-shot Adversarial Robustness for Large-Scale Models ICLR 2023 UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning EMNLP 2023 UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks ICLR 2023 Unified Visual Relationship Detection with Vision and Language Models ICCV 2023