Text Detection
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Benchmarks
UrduDoc
Most implemented
EAST: An Efficient and Accurate Scene Text Detector
Shape Robust Text Detection with Progressive Scale Expansion Network
Character Region Awareness for Text Detection
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Real-time Scene Text Detection with Differentiable Binarization
Fourier Contour Embedding for Arbitrary-Shaped Text Detection
Papers
Beyond Global Scalars: Synergizing Token-Level Statistics and Deep Semantics for Adversarial AIGC Text Detection
The rapid evolution of large language models necessitates robust machine-generated text detection. Existing paradigms typically follow two isolated tracks. Training-free methods rely on global statistical scalars such as…
Text DetectionD2C-Routing: Dimension-to-Composition Evidence Routing for Mixed-Origin AI-Generated Text Detection
AI-generated text detection is commonly framed as a binary document-level judgment about whether a text is human-written or machine-generated. This framing breaks down for mixed-origin writing, where content origin and e…
Text DetectionRelational Over-Regularization: Graph-Based AI-Generated Text Detection via Sentence Transition Deviation
Detecting AI-generated text (AIGT) remains challenging because existing approaches rely on token-level statistical signals or independent stylometric features, causing them to overfit to specific generators and fail unde…
Text DetectionUnveiling Spectral Mechanisms in Training-Free LLM Text Detection
The rapid advancement of Large Language Models (LLMs) makes it increasingly difficult to distinguish human writing from machine-generated text. Training-free detection offers a scalable solution, yet common confidence-ba…
Text DetectionDeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text
The rapid spread of large language models (LLMs) across the web raises concerns about misinformation, academic integrity, automated content manipulation, and risks to vulnerable online communities. Existing transformer-b…
Text DetectionASK-NN: An Asymmetric Nearest-Neighbor Test that detects Distribution Drifts in Natural Language
Hallucinations and artificial text in LLM-generated outputs often appear as distributional deviations between prompt and response hidden-state distributions. Since prompts or retrieved contexts typically serve as referen…
Text Detection