ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Sural, Shounak, Naren, Rajkumar, Ragunathan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BEVMAPMATCH: Multimodal BEV Neural Map Matching for Robust Re-Localization of Autonomous Vehicles
by: Sural, Shounak, et al.
Published: (2026)
by: Sural, Shounak, et al.
Published: (2026)
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions
by: Sural, Shounak, et al.
Published: (2024)
by: Sural, Shounak, et al.
Published: (2024)
ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
by: Sahu, Nishad, et al.
Published: (2025)
by: Sahu, Nishad, et al.
Published: (2025)
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026)
by: Sural, Shounak, et al.
Published: (2026)
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
by: Sahu, Nishad, et al.
Published: (2026)
by: Sahu, Nishad, et al.
Published: (2026)
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
by: Ueno, Shiryu, et al.
Published: (2025)
by: Ueno, Shiryu, et al.
Published: (2025)
Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
by: Li, Yushu, et al.
Published: (2024)
by: Li, Yushu, et al.
Published: (2024)
FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling
by: Hamid, Kaiser, et al.
Published: (2025)
by: Hamid, Kaiser, et al.
Published: (2025)
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
by: Tian, Xiaoyu, et al.
Published: (2024)
by: Tian, Xiaoyu, et al.
Published: (2024)
Multi-Stage VLM Pipeline for Zero-Shot Traffic Accident Understanding
by: Tatematsu, Fumiya, et al.
Published: (2026)
by: Tatematsu, Fumiya, et al.
Published: (2026)
Few-Shot Object Detection with Sparse Context Transformers
by: Mei, Jie, et al.
Published: (2024)
by: Mei, Jie, et al.
Published: (2024)
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities
by: Datta, Shounak, et al.
Published: (2025)
by: Datta, Shounak, et al.
Published: (2025)
AirShot: Efficient Few-Shot Detection for Autonomous Exploration
by: Wang, Zihan, et al.
Published: (2024)
by: Wang, Zihan, et al.
Published: (2024)
Low-Rank Few-Shot Adaptation of Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2024)
by: Zanella, Maxime, et al.
Published: (2024)
Semi-Supervised Few-Shot Adaptation of Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2026)
by: Silva-Rodríguez, Julio, et al.
Published: (2026)
Revisiting Few-Shot Object Detection with Vision-Language Models
by: Madan, Anish, et al.
Published: (2023)
by: Madan, Anish, et al.
Published: (2023)
Dynamic Context-Aware Scene Reasoning Using Vision-Language Alignment in Zero-Shot Real-World Scenarios
by: Rajiv, Manjunath Prasad Holenarasipura, et al.
Published: (2025)
by: Rajiv, Manjunath Prasad Holenarasipura, et al.
Published: (2025)
Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024)
by: Martin, Ségolène, et al.
Published: (2024)
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
by: Ding, Kun, et al.
Published: (2024)
by: Ding, Kun, et al.
Published: (2024)
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
by: Badawi, Maged, et al.
Published: (2024)
by: Badawi, Maged, et al.
Published: (2024)
Vision-Language Integration for Zero-Shot Scene Understanding in Real-World Environments
by: Rajiv, Manjunath Prasad Holenarasipura, et al.
Published: (2025)
by: Rajiv, Manjunath Prasad Holenarasipura, et al.
Published: (2025)
Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning
by: Komaty, Alain, et al.
Published: (2025)
by: Komaty, Alain, et al.
Published: (2025)
Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models
by: Khoury, Karim El, et al.
Published: (2025)
by: Khoury, Karim El, et al.
Published: (2025)
Auxiliary Descriptive Knowledge for Few-Shot Adaptation of Vision-Language Model
by: Lee, SuBeen, et al.
Published: (2025)
by: Lee, SuBeen, et al.
Published: (2025)
Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models
by: Ranasinghe, Yasiru, et al.
Published: (2025)
by: Ranasinghe, Yasiru, et al.
Published: (2025)
Noise is an Efficient Learner for Zero-Shot Vision-Language Models
by: Imam, Raza, et al.
Published: (2025)
by: Imam, Raza, et al.
Published: (2025)
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
by: Scius-Bertrand, Anna, et al.
Published: (2024)
by: Scius-Bertrand, Anna, et al.
Published: (2024)
Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
by: Tong, Baoshun, et al.
Published: (2024)
by: Tong, Baoshun, et al.
Published: (2024)
MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning
by: Wang, Zhaolong, et al.
Published: (2025)
by: Wang, Zhaolong, et al.
Published: (2025)
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
by: Li, Yun, et al.
Published: (2024)
by: Li, Yun, et al.
Published: (2024)
IIR-VLM: In-Context Instance-level Recognition for Large Vision-Language Models
by: Shi, Liang, et al.
Published: (2026)
by: Shi, Liang, et al.
Published: (2026)
SkeletonContext: Skeleton-side Context Prompt Learning for Zero-Shot Skeleton-based Action Recognition
by: Wang, Ning, et al.
Published: (2026)
by: Wang, Ning, et al.
Published: (2026)
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
by: Li, Xudong, et al.
Published: (2024)
by: Li, Xudong, et al.
Published: (2024)
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
TinyVLM: Zero-Shot Object Detection on Microcontrollers via Vision-Language Distillation with Matryoshka Embeddings
by: Wilson, Bibin
Published: (2026)
by: Wilson, Bibin
Published: (2026)
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
by: Abdollahzadeh, Milad, et al.
Published: (2023)
by: Abdollahzadeh, Milad, et al.
Published: (2023)
Efficient Few-Shot Continual Learning in Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2025)
by: Panos, Aristeidis, et al.
Published: (2025)
DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection
by: Gare, Gautam Rajendrakumar, et al.
Published: (2026)
by: Gare, Gautam Rajendrakumar, et al.
Published: (2026)
Kinetic Mining in Context: Few-Shot Action Synthesis via Text-to-Motion Distillation
by: Cazzola, Luca, et al.
Published: (2025)
by: Cazzola, Luca, et al.
Published: (2025)
Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
by: Jiang, Yuxin, et al.
Published: (2025)
by: Jiang, Yuxin, et al.
Published: (2025)
Similar Items
-
BEVMAPMATCH: Multimodal BEV Neural Map Matching for Robust Re-Localization of Autonomous Vehicles
by: Sural, Shounak, et al.
Published: (2026) -
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions
by: Sural, Shounak, et al.
Published: (2024) -
ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
by: Sahu, Nishad, et al.
Published: (2025) -
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026) -
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
by: Sahu, Nishad, et al.
Published: (2026)