Image Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/picekl/DanishFungiDataset
공식 코드Danish Fungi 2020 -- Not Just Another Image Recognition Dataset
https://github.com/prlz77/attend-and-rectify
공식 코드Pay attention to the activations: a modular attention mechanism for fine-grained image recognition
https://github.com/raoyongming/CAL
공식 코드Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
https://github.com/raysonlaroca/rodosol-alpr-dataset
공식 코드On the Cross-dataset Generalization in License Plate Recognition
https://github.com/researchmm/DBTNet
공식 코드Learning Deep Bilinear Transformation for Fine-grained Image Representation
https://github.com/researchmm/tasn
공식 코드https://github.com/ryan-feng/graphite
공식 코드https://github.com/sagieppel/matseg
공식 코드https://github.com/set-path/multi-input-mushroom-recognition
공식 코드Taxonomy and evolution predicting using deep learning in images
https://github.com/subhc/clever
공식 코드The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
https://github.com/usama-x930/vt-lpr
공식 코드Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
https://github.com/usuyama/ePillID-benchmark
공식 코드ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
https://github.com/valfride/lpr-rsr
공식 코드Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution
https://github.com/valfride/lpr-rsr-ext
공식 코드Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers
https://github.com/valfride/lpsr-lacd
공식 코드Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach
https://github.com/valfride/lpsrgan
공식 코드Toward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark
https://github.com/victor-nasc/Vehicle-Licence-Plate-Recognition
공식 코드Efficient Video-Based ALPR System Using YOLO and Visual Rhythm
https://github.com/willogy-team/hand-gesture-recognition-smc2021
공식 코드Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
https://github.com/zhanghang1989/Deep-Encoding
공식 코드https://dagshub.com/arnavr.neo/VT-LPR
Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
https://github.com/1170500804/tbmsl
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/CWanli/myencoding
https://github.com/DanielKovach/AG-Net
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition
https://github.com/FaceOnLive/License-Plate-Recognition-SDK-Android
A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector
https://github.com/Healthcare-Robotics/smm50
https://github.com/IntuitionMachines/OrigamiNet
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
https://github.com/JDAI-CV/DCL
Look-into-Object: Self-supervised Structure Modeling for Object Recognition
https://github.com/Kso-Ayaka/MS_Paperwithcode/tree/main/Hawkeye
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning
https://github.com/OrkhanHI/Grab-AI-Computer-Vision-Challenge
https://github.com/PaddlePaddle/PaddleClas
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset
https://github.com/Praveen94/pytorch-encoding
https://github.com/Puning97/AUTO-for-OOD-detection
https://github.com/RyanHTR/PyTorch-Encoding
https://github.com/SQMah/Plate-Reading-Network
https://github.com/Sorananakiii/Fine-grained-image-recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.