SOTAVerified

Text Detection

Detecting the text in the image and localise it using a bounding box. The text can be in any shape and size. We need to localise all such instances of text in the entire image along with bounding box for each word.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–160 of 595 papers

TitleStatusHype
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text DetectionCode1
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts—0
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?Code0
CPN: Complementary Proposal Network for Unconstrained Text Detection—0
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated TextCode1
ToBlend: Token-Level Blending With an Ensemble of LLMs to Attack AI-Generated Text Detection—0
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text DetectionCode1
TEXTRON: Weakly Supervised Multilingual Text Detection through Data ProgrammingCode1
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-SamplingCode1
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ContourNet [69]Precision86.99—Unverified
2DRRG [72]Precision83.87—Unverified
3PSENet [67]Precision78.11—Unverified
4EAST [75]Precision71.48—Unverified
5EASTPrecision70.43—Unverified