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

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NIPS 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NIPS 2024
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance NIPS 2024
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors NIPS 2024
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images NIPS 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NIPS 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NIPS 2024
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function NIPS 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NIPS 2024
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NIPS 2024
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts NIPS 2024
Boosting Vision-Language Models with Transduction NIPS 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment NIPS 2024
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model NIPS 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NIPS 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning NIPS 2024
Revisiting Few-Shot Object Detection with Vision-Language Models NIPS 2024
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels NIPS 2024
CALVIN: Improved Contextual Video Captioning via Instruction Tuning NIPS 2024
WATT: Weight Average Test Time Adaptation of CLIP NIPS 2024
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge NIPS 2024
Measuring Dejavu Memorization Efficiently NIPS 2024
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy NIPS 2024
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment NIPS 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024