Memorymamba: Memory-augmented state space model for defect recognition
Q Wang, H Hu, Y Zhou - arXiv preprint arXiv:2405.03673, 2024 - arxiv.org
As automation advances in manufacturing, the demand for precise and sophisticated defect
detection technologies grows. Existing vision models for defect recognition methods are …
detection technologies grows. Existing vision models for defect recognition methods are …
Optimizing search advertising strategies: Integrating reinforcement learning with generalized second-price auctions for enhanced ad ranking and bidding
This paper explores the integration of strategic optimization methods in search advertising,
focusing on ad ranking and bidding mechanisms within E-commerce platforms. By …
focusing on ad ranking and bidding mechanisms within E-commerce platforms. By …
[PDF][PDF] Application of deep learning-based natural language processing in multilingual sentiment analysis
This study explores the application of deep learning-based natural language processing
technologies in multilingual sentiment analysis. By examining the performance of deep …
technologies in multilingual sentiment analysis. By examining the performance of deep …
MIST: Multi-Modal Interactive Side-Tuning for Memory-efficient Referring Expression Comprehension
Referring expression comprehension (REC) is a vision-language task to locate a target
object in an image based on a language expression. Fully fine-tuning general-purpose pre …
object in an image based on a language expression. Fully fine-tuning general-purpose pre …
Automatic News Generation and Fact-Checking System Based on Language Processing
This paper explores an automatic news generation and fact-checking system based on
language processing, aimed at enhancing the efficiency and quality of news production …
language processing, aimed at enhancing the efficiency and quality of news production …
Applications of explainable AI in natural language processing
This paper investigates and discusses the applications of explainable AI in natural language
processing. It first analyzes the importance and current state of AI in natural language …
processing. It first analyzes the importance and current state of AI in natural language …
Multi-Granularity Feature Fusion for Image-guided Story Ending Generation
Image-guided Story Ending Generation aims at generating a reasonable and logical ending
given a story context and an ending-related image. The existing models have achieved …
given a story context and an ending-related image. The existing models have achieved …
Optimization Strategies for Self-Supervised Learning in the Use of Unlabeled Data
This study explores optimization strategies for self-supervised learning in the use of
unlabeled data. By deeply analyzing existing research, we propose a novel method that …
unlabeled data. By deeply analyzing existing research, we propose a novel method that …
[PDF][PDF] Exploring the impact of quantum computing on machine learning performance
This paper delves into the integration of machine learning and quantum computing,
highlighting the potential of quantum computing to enhance the performance and …
highlighting the potential of quantum computing to enhance the performance and …
Topic-Selective Graph Network for Topic-Focused Summarization
Due to the success of the pre-trained language model (PLM), existing PLM-based
summarization models show their powerful generative capability. However, these models …
summarization models show their powerful generative capability. However, these models …