conftrace_

vision-language model

2348 papers

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Also known as

VLM VL MODEL VLMS

Co-occurring keywords

multimodal learning (4645) zero-shot learning (3650) vision language model (767) contrastive learning (4032) large language model (13587) visual question answering (1017) transfer learning (5449) few-shot learning (3398) knowledge distillation (3725) semantic segmentation (3186)

Papers

LP-OVOD: Open-Vocabulary Object Detection by Linear Probing WACV 2024
Domain Aligned CLIP for Few-Shot Classification WACV 2024
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection WACV 2024
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP CVPR 2024
Large Language Models are Good Prompt Learners for Low-Shot Image Classification CVPR 2024
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving CVPR 2024
Building Vision-Language Models on Solid Foundations with Masked Distillation CVPR 2024
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding CVPR 2024
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions CVPR 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection CVPR 2024
PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs CVPR 2024
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and Consistency CVPR 2024
FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association WACV 2024
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation CVPR 2024
Autonomous Aspect-Image Instruction a2II: Q-Former Guided Multimodal Sentiment Classification COLING 2024
Find-the-Common: A Benchmark for Explaining Visual Patterns from Images COLING 2024
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024
Representing Abstract Concepts with Images: An Investigation with Large Language Models COLING 2024
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks COLING 2024
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SEMEVAL 2024
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing EACL 2024
OLIVE: Object Level In-Context Visual Embeddings ACL 2024
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval ACL 2024
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost COLING 2024