https://github.com/kinit-sk/mAO
공식 코드Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Papers with Code 아카이브
Text Detection
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kinit-sk/mgt-detection-benchmark
공식 코드MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
https://github.com/kinit-sk/semeval-2024-task-8-machine-text-detection
공식 코드KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
https://github.com/kristylht/Human-LLM-Paraphrase-Collection-HLPC
공식 코드Understanding the Effects of Human-written Paraphrases in LLM-generated Text Detection
https://github.com/ku21fan/coo-comic-onomatopoeia
공식 코드COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts
https://github.com/lanfeng4659/STR-TDSL
공식 코드Scene Text Retrieval via Joint Text Detection and Similarity Learning
https://github.com/liamdugan/raid
공식 코드RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
https://github.com/linzwcs/pasted
공식 코드Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text
https://github.com/liyuuuu111/greater
공식 코드https://github.com/madlab-ucr/grid
공식 코드GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method
https://github.com/maloyan/ruatd
공식 코드https://github.com/martiansideofthemoon/ai-detection-paraphrases
공식 코드Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
https://github.com/mbzuai-nlp/COLING-2025-Workshop-on-MGT-Detection-Task1
공식 코드https://github.com/mbzuai-nlp/llm-detectaive
공식 코드LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
https://github.com/mbzuai-nlp/m4
공식 코드M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
https://github.com/mbzuai-nlp/m4gt-bench
공식 코드M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
https://github.com/mbzuai-nlp/semeval2024-task8
공식 코드M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
https://github.com/michalspiegel/imgtb
공식 코드IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
https://github.com/microsoft/unilm/tree/master/dit
공식 코드DiT: Self-supervised Pre-training for Document Image Transformer
https://github.com/mindspore-lab/mindone
공식 코드Multiscale Positive-Unlabeled Detection of AI-Generated Texts
https://github.com/mjq11302010044/RRPN
공식 코드Arbitrary-Oriented Scene Text Detection via Rotation Proposals
https://github.com/mjq11302010044/RRPN_plusplus
공식 코드https://github.com/mlpc-ucsd/testr
공식 코드https://github.com/mxin262/estextspotter
공식 코드ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
https://github.com/mxin262/swintextspotter
공식 코드SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
https://github.com/mxin262/swintextspotterv2
공식 코드SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting
https://github.com/natriistorm/semeval2024-boundary-detection
공식 코드https://github.com/navid-aub/esperanto-dataset
공식 코드ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination
https://github.com/ngocminhta/faid
공식 코드https://github.com/nlp2ct/detectrl
공식 코드DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
https://github.com/nlp2ct/llm-generated-text-detection
공식 코드A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
https://github.com/omni-us/research-dataset-sGMB
공식 코드A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
https://github.com/omni-us/research-e2e-pagereader
공식 코드A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
https://github.com/open-mmlab/mmocr
공식 코드MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
https://github.com/pd162/ltb
공식 코드The Devil is in Fine-tuning and Long-tailed Problems:A New Benchmark for Scene Text Detection
https://github.com/pdjoshi-30/hullmi-human-vs.-llm-identification-with-explainability
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.