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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/weizequan/tashr
공식 코드https://github.com/wenwenyu/PICK-pytorch
공식 코드https://github.com/wenwenyu/tcm
공식 코드https://github.com/whai362/AE_TextSpotter
공식 코드AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
https://github.com/whai362/PSENet
공식 코드Shape Robust Text Detection with Progressive Scale Expansion Network
https://github.com/whai362/TDA-ReCTS
공식 코드AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
https://github.com/whai362/pan_pp.pytorch
공식 코드Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
https://github.com/wjj1106/SRSTS
공식 코드Single Shot Self-Reliant Scene Text Spotter by Decoupled yet Collaborative Detection and Recognition
https://github.com/wushilian/robust-scene-text-detection-benchmark
공식 코드On Exploring and Improving Robustness of Scene Text Detection Models
https://github.com/wzx99/tmim
공식 코드Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling
https://github.com/xhzdeng/crpn
공식 코드Detecting Multi-Oriented Text with Corner-based Region Proposals
https://github.com/xhzdeng/stela
공식 코드https://github.com/xianjun-yang/code_detection
공식 코드https://github.com/xieenze/PolarMask
공식 코드PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
https://github.com/xiizhao/cbn.pytorch
공식 코드CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection
https://github.com/xinleihe/mgtbench
공식 코드https://github.com/ya0-sun/str-berlin
공식 코드https://github.com/yafuly/deepfaketextdetect
공식 코드https://github.com/yafuly/mage
공식 코드https://github.com/ychensu/lranet
공식 코드LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
https://github.com/yfzhang114/robustness-detection
공식 코드Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors
https://github.com/yichenzw/coh-mgt-detection
공식 코드https://github.com/ymy-k/dptext-detr
공식 코드DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
https://github.com/yuchuantian/aigc_text_detector
공식 코드Multiscale Positive-Unlabeled Detection of AI-Generated Texts
https://github.com/yuliang-liu/sptsv2
공식 코드https://github.com/zhang0jhon/AttentionOCR
공식 코드A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
https://github.com/zhouying20/ai-text-detector-evaluation
공식 코드Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
https://github.com/zhouying20/hmgc
공식 코드Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
https://github.com/18520339/dbnet-tf2
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/2023-MindSpore-1/ms-code-171
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/psenet
Shape Robust Text Detection with Progressive Scale Expansion Network
https://github.com/2023-MindSpore-1/ms-code-224/tree/main/aecrnet
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
https://github.com/2023-MindSpore-1/ms-code-43
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/2023-MindSpore-4/Code1/tree/main/DeepText
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
https://github.com/2023-MindSpore-4/Code3/tree/main/east
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.