3 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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.…