15 citations · 30 across the 13 of their papers we have counts for
13 papers
Granular Ball Guided Masking: Structure-aware Data Augmentation
Shuyin Xia, Fan Chen, Dawei Dai +4
Deep learning models have achieved remarkable success in computer vision but still rely heavily on large-scale labeled data and tend to overfit when data is limited or distribution…
HumanVLM: Foundation for Human-Scene Vision-Language Model
Dawei Dai, Xu Long, Li Yutang +2
Human-scene vision-language tasks are increasingly prevalent in diverse social applications, yet recent advancements predominantly rely on models specifically tailored to individua…
Granular-ball Representation Learning for Deep CNN on Learning with Label Noise
Dawei Dai, Hao Zhu, Shuyin Xia +1
In actual scenarios, whether manually or automatically annotated, label noise is inevitably generated in the training data, which can affect the effectiveness of deep CNN models. T…
PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding
Dawei Dai, Yuanhui Zhang, Long Xu +4
The previous advancements in pathology image understanding primarily involved developing models tailored to specific tasks. Recent studies has demonstrated that the large vision-la…
15M Multimodal Facial Image-Text Dataset
Dawei Dai, YuTang Li, YingGe Liu +3
Currently, image-text-driven multi-modal deep learning models have demonstrated their outstanding potential in many fields. In practice, tasks centered around facial images have br…
Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval
Liang Wang, Dawei Dai, Shiyu Fu +1
In specific scenarios, face sketch can be used to identify a person. However, drawing a face sketch often requires exceptional skill and is time-consuming, limiting its widespread…
Graph-based Representation for Image based on Granular-ball
Xia Shuyin, Dai Dawei, Yang Long +4
Current image processing methods usually operate on the finest-granularity unit; that is, the pixel, which leads to challenges in terms of efficiency, robustness, and understandabi…
Sketch Less Face Image Retrieval: A New Challenge
Dawei Dai, Yutang Li, Liang Wang +3
In some specific scenarios, face sketch was used to identify a person. However, drawing a complete face sketch often needs skills and takes time, which hinder its widespread applic…
A Study of Deep CNN Model with Labeling Noise Based on Granular-ball Computing
Dawei Dai, Donggen Li, Zhiguo Zhuang
In supervised learning, the presence of noise can have a significant impact on decision making. Since many classifiers do not take label noise into account in the derivation of the…
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning
Dawei Dai, Chunjie Wang, Shuyin Xia +2
Edge detection, a basic task in the field of computer vision, is an important preprocessing operation for the recognition and understanding of a visual scene. In conventional model…
Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval
Dawei Dai, Xiaoyu Tang, Shuyin Xia +3
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a particular photo in a given query sketch. However, its widespread applicability is limited…
Rethinking the Image Feature Biases Exhibited by Deep CNN Models
Dawei Dai, Yutang Li, Huanan Bao +3
In recent years, convolutional neural networks (CNNs) have been applied successfully in many fields. However, such deep neural models are still regarded as black box in most tasks.…
Understanding the Feedforward Artificial Neural Network Model From the Perspective of Network Flow
Dawei Dai, Weimin Tan, Hong Zhan
In recent years, deep learning based on artificial neural network (ANN) has achieved great success in pattern recognition. However, there is no clear understanding of such neural c…