Search Results for author:
Found 4 papers, 2 papers with code
Identity-Aware Semi-Supervised Learning for Comic Character Re-Identification
Character re-identification, recognizing characters consistently across different panels in comics, presents significant challenges due to limited annotated data and complex variations in character appearances.
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and Recognition
To do this, we developed a pipeline for OCR processing and labeling of comic books and created the first text detection and recognition datasets for western comics, called "COMICS Text+: Detection" and "COMICS Text+: Recognition".
Optical Character Recognition
Optical Character Recognition (OCR)
+2
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
Drawings are powerful means of pictorial abstraction and communication.
Ranked #1 on
Weakly Supervised Object Detection
on Comic2k
(using extra training data)
Active Scene Learning
Several authors have attempted to address this issue by creating synthetic data, and by building tools that support efficient annotation.
