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20242026
most citedLike Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text

2 citations · 3 across the 16 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

SignEye: Traffic Sign Interpretation from Vehicle First-Person View

Chuang Yang, Xu Han, Tao Han +5

Traffic signs play a key role in assisting autonomous driving systems (ADS) by enabling the assessment of vehicle behavior in compliance with traffic regulations and providing navi…

cs.CV2024

Real-Time Text Detection with Similar Mask in Traffic, Industrial, and Natural Scenes

Xu Han, Junyu Gao, Chuang Yang +2

Texts on the intelligent transportation scene include mass information. Fully harnessing this information is one of the critical drivers for advancing intelligent transportation. U…

cs.CV2024

Focus Entirety and Perceive Environment for Arbitrary-Shaped Text Detection

Xu Han, Junyu Gao, Chuang Yang +2

Due to the diversity of scene text in aspects such as font, color, shape, and size, accurately and efficiently detecting text is still a formidable challenge. Among the various det…

cs.CV2024

Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera

Xu Han, Junyu Gao, Chuang Yang +2

The irregular contour representation is one of the tough challenges in scene text detection. Although segmentation-based methods have achieved significant progress with the help of…

cs.CV2024

A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot

Haoxuan Ding, Qi Wang, Junyu Gao +1

Traditional license plate detection and recognition models are often trained on closed datasets, limiting their ability to handle the diverse license plate formats across different…

cs.CV2024

Text-only Synthesis for Image Captioning

Qing Zhou, Junlin Huang, Qiang Li +2

From paired image-text training to text-only training for image captioning, the pursuit of relaxing the requirements for high-cost and large-scale annotation of good quality data r…

cs.CV2024

Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation

Yuyu Jia, Wei Huang, Junyu Gao +2

Few-shot segmentation (FSS) for remote sensing (RS) imagery leverages supporting information from limited annotated samples to achieve query segmentation of novel classes. Previous…

cs.CV2024★ 2 cited

Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text

Yuyu Jia, Qing Zhou, Wei Huang +2

Few-shot learning aims to generalize the recognizer from seen categories to an entirely novel scenario. With only a few support samples, several advanced methods initially introduc…