Papers with Code 아카이브
Dense Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ryubidragonfire/mydarknet
https://github.com/saber2011/darknet
https://github.com/saednasir/Helmet_Yolo
https://github.com/samsonadmin/modified-alexeyab-darknet
https://github.com/sdu2011/darknet_alexyab
https://github.com/shashigharti/secure-privateai-scholarship-challenge
https://github.com/shinya7y/UniverseNet
https://github.com/sidify/resnet_focal_loss
https://github.com/simonlevine/11785-project
https://github.com/simonlevine/clinical-longformer
https://github.com/skbadhsm/darknet2
https://github.com/skrish13/SKU110K-benchmark
https://github.com/skrish13/SKU110K-evaluation
https://github.com/soccergame/darknet
https://github.com/solapark/da_yolo
https://github.com/solapark/darknet_interpark
https://github.com/solapark/darknet_partdet
https://github.com/solapark/darknet_partdet_tmp
https://github.com/srihari-humbarwadi/retinanet-tensorflow2.x
https://github.com/srihari-humbarwadi/tensorflow_retinanet
https://github.com/stevenzhou2017/darknet_AlexeyAB
https://github.com/sudharavali/objectDetectionYOLO
https://github.com/sulasen/race-events-recognition-1
https://github.com/tallysprado/myDarknet
https://github.com/teemoeric/projet
https://github.com/tensorflow/models
https://github.com/tianhai123/yolov3
https://github.com/toufiksk/darknet
https://github.com/travismyers19/Vulnerable_Buildings
https://github.com/trongnghia00/darknet
https://github.com/tryolabs/luminoth
https://github.com/tyomj/product_detection
https://github.com/unsky/RetinaNet
https://github.com/unsky/focal-loss
https://github.com/vantupham/darknet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.