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/vuongtrannguyenkhoi/darknet
https://github.com/wangxianhao/Improved-YOLOv3-for-UAV
https://github.com/williamccondori/YOLO-NFPA
https://github.com/witwickey/darknet
https://github.com/wodyjowski/colab-training
https://github.com/xiamenwcy/extended-caffe
https://github.com/xiuqhou/relation-detr
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
https://github.com/xuannianz/FSAF
https://github.com/xuannianz/SAPD
https://github.com/xuanyuzhou98/SqueezeSeg
https://github.com/xunull/read-Salience-DETR
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
https://github.com/xytpai/retinanet
https://github.com/yhenon/pytorch-retinanet
https://github.com/yijiaceline/Final-Project-Group4
https://github.com/yiningzeng/darknet-fork-from-AlexeyAB
https://github.com/yudie433/darknet
https://github.com/yuliani29/yolotraining
https://github.com/yytang2012/darknet
https://github.com/zhongzisha/object_detection
https://github.com/zj463261929/darknet_mAP
https://github.com/zzhuolun/IRL
https://gitlab.com/birder/birder
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.