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Found 7 papers, 1 papers with code
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts
Experimental results show that our method exceeds the performance of state-of-the-art zero-shot VQA models for flood disaster scenarios in total.
Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario
Most importantly, our model uses well-designed chain of thought (CoT) demonstrations to unlock the potential of the large language model, allowing zero-shot VQA to show better performance in disaster scenarios.
Open-World Object Detection via Discriminative Class Prototype Learning
Open-world object detection (OWOD) is a challenging problem that combines object detection with incremental learning and open-set learning.
A Data Driven Method for Multi-step Prediction of Ship Roll Motion in High Sea States
This paper presents a novel data-driven methodology to provide a multi-step prediction of ship roll motions in high sea states.
Dual-stream Network for Visual Recognition
Transformers with remarkable global representation capacities achieve competitive results for visual tasks, but fail to consider high-level local pattern information in input images.
Efficient Robust Watermarking Based on Quaternion Singular Value Decomposition and Coefficient Pair Selection
In this way, compared with conventional QSVD, the proposed watermarking strategy avoids more modifications to a single color image layer and a better visual quality of the watermarked image is observed.
Proximal Policy Optimization with Mixed Distributed Training
Instability and slowness are two main problems in deep reinforcement learning.
