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Found 11 papers, 0 papers with code
External Prompt Features Enhanced Parameter-efficient Fine-tuning for Salient Object Detection
To better harness the potential of transformers for SOD, we propose a novel parameter-efficient fine-tuning method aimed at reducing the number of training parameters while enhancing the salient object detection capability.
Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models.
BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining
DeBERTa introduced an enhanced decoder adapted for BERT's encoder model for pretraining, proving to be highly effective.
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing
This review presents a comprehensive exploration of hybrid and ensemble deep learning models within Natural Language Processing (NLP), shedding light on their transformative potential across diverse tasks such as Sentiment Analysis, Named Entity Recognition, Machine Translation, Question Answering, Text Classification, Generation, Speech Recognition, Summarization, and Language Modeling.
AlphaZero Gomoku
In the past few years, AlphaZero's exceptional capability in mastering intricate board games has garnered considerable interest.
Cross-Attribute Matrix Factorization Model with Shared User Embedding
A direct and intuitive approach to address this issue is by leveraging the features and attributes of the items and users themselves.
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method
Despite substantial progress in the field of deep learning, overfitting persists as a critical challenge, and data augmentation has emerged as a particularly promising approach due to its capacity to enhance model generalization in various computer vision tasks.
ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder
The utilization of biometric authentication with pattern images is increasingly popular in compact Internet of Things (IoT) devices.
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN
Vibration signals have been increasingly utilized in various engineering fields for analysis and monitoring purposes, including structural health monitoring, fault diagnosis and damage detection, where vibration signals can provide valuable information about the condition and integrity of structures.
Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits
Our proposed DL models, named FAG-Net and FGC-Net, correspondingly estimate biological traits (age and gender) and generates fundus images.
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Neural networks have been rapidly expanding in recent years, with novel strategies and applications.
