Search Results for author:
Found 8 papers, 5 papers with code
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
To address the issue, we propose a global distribution fitting (GDF) method with a penalty term to confine the generated data distribution.
Unified Chinese License Plate Detection and Recognition with High Efficiency
With CRPD, a unified detection and recognition network with high efficiency is presented as the baseline.
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
It draws class-wise features closer than coarse feature alignment or class-wise feature alignment only, therefore improves the model's performance to a great extent.
What's the relationship between CNNs and communication systems?
The interpretability of Convolutional Neural Networks (CNNs) is an important topic in the field of computer vision.
STELA: A Real-Time Scene Text Detector with Learned Anchor
To achieve high coverage of target boxes, a normal strategy of conventional one-stage anchor-based detectors is to utilize multiple priors at each spatial position, especially in scene text detection tasks.
Focus-Enhanced Scene Text Recognition with Deformable Convolutions
Recently, scene text recognition methods based on deep learning have sprung up in computer vision area.
Generating Text Sequence Images for Recognition
Recently, methods based on deep learning have dominated the field of text recognition.
Detecting Multi-Oriented Text with Corner-based Region Proposals
Previous approaches for scene text detection usually rely on manually defined sliding windows.
Ranked #1 on
Scene Text Detection
on COCO-Text
