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Found 5 papers, 2 papers with code
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
We introduce DriveVLM, an autonomous driving system leveraging Vision-Language Models (VLMs) for enhanced scene understanding and planning capabilities.
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding
Specifically, we generate the question-answer pair based on both the Visual Genome scene graph and an external knowledge base with controlled programs to disentangle the knowledge from other biases.
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Many algorithms try to predict model performance of the pruned sub-nets by introducing various evaluation methods.
Ranked #5 on
Network Pruning
on ImageNet
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
Explanation and high-order reasoning capabilities are crucial for real-world visual question answering with diverse levels of inference complexity (e. g., what is the dog that is near the girl playing with?)
Interpretable Visual Question Answering by Reasoning on Dependency Trees
Collaborative reasoning for understanding image-question pairs is a very critical but underexplored topic in interpretable visual question answering systems.
