Papers Scene Text Detection
“Scene Text Detection” 태그가 달린 논문 220편 · 필터 해제
TextDS: Parameter-Efficient Representation Alignment for Scene Text Detection under Distribution Shifts
In real-world deployments, scene text detectors inevitably face distribution shifts beyond the training distribution. Prior work often depends on large-scale scene-text pretraining, yet evaluation under cross-domain chan…
Scene Text DetectionET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis
Previous works based on Segment Anything Model (SAM) have achieved promising performance in unified scene text detection and layout analysis. However, the typical reliance on pixel-level text segmentation for sampling th…
Scene Text DetectionTextMamba: Scene Text Detector with Mamba
In scene text detection, Transformer-based methods have addressed the global feature extraction limitations inherent in traditional convolution neural network-based methods. However, most directly rely on native Transfor…
Scene Text DetectionBharat Scene Text: A Novel Comprehensive Dataset and Benchmark for Indian Language Scene Text Understanding
Reading scene text, that is, text appearing in images, has numerous application areas, including assistive technology, search, and e-commerce. Although scene text recognition in English has advanced significantly and is …
Scene Text RecognitionScene Text DetectionA Large-scale Dataset for Robust Complex Anime Scene Text Detection
Current text detection datasets primarily target natural or document scenes, where text typically appear in regular font and shapes, monotonous colors, and orderly layouts. The text usually arranged along straight or cur…
Scene Text DetectionHuman + AI for Accelerating Ad Localization Evaluation
Adapting advertisements for multilingual audiences requires more than simple text translation; it demands preservation of visual consistency, spatial alignment, and stylistic integrity across diverse languages and format…
Scene Text DetectionMachine TranslationScene Text Detection and Recognition "in light of" Challenging Environmental Conditions using Aria Glasses Egocentric Vision Cameras
In an era where wearable technology is reshaping applications, Scene Text Detection and Recognition (STDR) becomes a straightforward choice through the lens of egocentric vision. Leveraging Meta's Project Aria smart glas…
Scene Text DetectionThe Devil is in Fine-tuning and Long-tailed Problems:A New Benchmark for Scene Text Detection
Scene text detection has seen the emergence of high-performing methods that excel on academic benchmarks. However, these detectors often fail to replicate such success in real-world scenarios. We uncover two key factors …
Scene Text DetectionSelf-Supervised LearningText DetectionExplicit Relational Reasoning Network for Scene Text Detection
Connected component (CC) is a proper text shape representation that aligns with human reading intuition. However, CC-based text detection methods have recently faced a developmental bottleneck that their time-consuming p…
DecoderRelational ReasoningScene Text DetectionText DetectionKhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark
Developing effective scene text detection and recognition models hinges on extensive training data, which can be both laborious and costly to obtain, especially for low-resourced languages. Conventional methods tailored …
Scene Text DetectionText DetectionSpotlight Text Detector: Spotlight on Candidate Regions Like a Camera
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 flexible pixel prediction, the overlap …
Scene Text DetectionText DetectionRegion Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Prompt
Recent advancements in prompt tuning have successfully adapted large-scale models like Contrastive Language-Image Pre-trained (CLIP) for downstream tasks such as scene text detection. Typically, text prompt complements t…
Scene Text DetectionText DetectionRevisiting Tampered Scene Text Detection in the Era of Generative AI
The rapid advancements of generative AI have fueled the potential of generative text image editing, meanwhile escalating the threat of misinformation spreading. However, existing forensics methods struggle to detect unse…
MisinformationScene Text DetectionText DetectionTowards Unified Multi-granularity Text Detection with Interactive Attention
Existing OCR engines or document image analysis systems typically rely on training separate models for text detection in varying scenarios and granularities, leading to significant computational complexity and resource d…
Document Layout AnalysisOptical Character Recognition (OCR)Representation LearningScene Text Detection+1Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question Answering
The development of Urdu scene text detection, recognition, and Visual Question Answering (VQA) technologies is crucial for advancing accessibility, information retrieval, and linguistic diversity in digital content, faci…
DiversityInformation RetrievalQuestion AnsweringRetrieval+4The First Swahili Language Scene Text Detection and Recognition Dataset
Scene text recognition is essential in many applications, including automated translation, information retrieval, driving assistance, and enhancing accessibility for individuals with visual impairments. Much research has…
Information RetrievalScene Text DetectionScene Text RecognitionText DetectionFPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection
Bounding box regression is one of the important steps of object detection. However, rotation detectors often involve a more complicated loss based on SkewIoU which is unfriendly to gradient-based training. Most of the ex…
Objectobject-detectionObject Detectionregression+2Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis
Significant progress has been made in scene text detection models since the rise of deep learning, but scene text layout analysis, which aims to group detected text instances as paragraphs, has not kept pace. Previous wo…
Scene Text DetectionText DetectionMorphText: Deep Morphology Regularized Arbitrary-shape Scene Text Detection
Bottom-up text detection methods play an important role in arbitrary-shape scene text detection but there are two restrictions preventing them from achieving their great potential, i.e., 1) the accumulation of false text…
Scene Text DetectionText DetectionText in the Dark: Extremely Low-Light Text Image Enhancement
Extremely low-light text images are common in natural scenes, making scene text detection and recognition challenging. One solution is to enhance these images using low-light image enhancement methods before text extract…
Image EnhancementLow-Light Image EnhancementScene Text DetectionText Detection