Papers with Code 아카이브

Dense Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

5

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lhcezx/Graph-FPN

Focal Loss for Dense Object Detection

https://github.com/li-yibing/oceannet

Focal Loss for Dense Object Detection

https://github.com/lingyunwu14/STFT

BorderDet: Border Feature for Dense Object Detection

https://github.com/liyemei/Deformable-active-convolutional

Focal Loss for Dense Object Detection

https://github.com/llsouder/screen-ocr

Focal Loss for Dense Object Detection

https://github.com/lyk19940625/MyRFBNet

Focal Loss for Dense Object Detection

https://github.com/magnificent1208/r3det-on-mmdetection

Focal Loss for Dense Object Detection

https://github.com/manishravula/yolov3_tiny_pruned

Focal Loss for Dense Object Detection

https://github.com/mathieuorhan/darknet

Focal Loss for Dense Object Detection

https://github.com/mdv3101/darknet-yolov3

Focal Loss for Dense Object Detection

https://github.com/mic-dkfz/medicaldetectiontoolkit

Focal Loss for Dense Object Detection

https://github.com/mindspore-ai/models/blob/master/official/cv/retinanet/

Focal Loss for Dense Object Detection

https://github.com/mindspore-ai/models/blob/master/research/cv/retinanet_resnet152

Focal Loss for Dense Object Detection

https://github.com/minhdua/PHONES

Focal Loss for Dense Object Detection

https://github.com/mkocabas/focal-loss-keras

Focal Loss for Dense Object Detection

https://github.com/moallafatma/Breast_Cancer_Detection_Classification

Focal Loss for Dense Object Detection

https://github.com/mszpc/nanodet

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

https://github.com/namdvt/Focal-loss-pytorch-implementation

Focal Loss for Dense Object Detection

https://github.com/neshitov/UNet

Focal Loss for Dense Object Detection

https://github.com/nguoido/Yolo-alexeyAB

Focal Loss for Dense Object Detection

https://github.com/oorrppp2/darknet-pose

Focal Loss for Dense Object Detection

https://github.com/open-mmlab/mmdetection

Focal Loss for Dense Object Detection

https://github.com/open-mmlab/mmyolo

PP-YOLOE: An evolved version of YOLO

https://github.com/patelmiteshn/darknet

Focal Loss for Dense Object Detection

https://github.com/pengrenlai/RetinaNet-tensorflow

Focal Loss for Dense Object Detection

https://github.com/petrum01/Capstone_project_object_detection

Focal Loss for Dense Object Detection

https://github.com/pierluigiferrari/ssd_keras

Focal Loss for Dense Object Detection

https://github.com/ppokhare/Handling-Imbalanced-Dataset-for-classification-task

Focal Loss for Dense Object Detection

https://github.com/pytorch/vision

Focal Loss for Dense Object Detection

https://github.com/qingyujean/Classification-on-imbalanced-data

Focal Loss for Dense Object Detection

https://github.com/rahowa/catboost_focal_loss

Focal Loss for Dense Object Detection

https://github.com/rainofmine/Face_Attention_Network

Focal Loss for Dense Object Detection

https://github.com/raspstephan/sugar-flower-fish-or-gravel

Focal Loss for Dense Object Detection

https://github.com/rebeccagio/object_detection

Focal Loss for Dense Object Detection

https://github.com/rnirdhar/yoloMultiClass

Focal Loss for Dense Object Detection

https://github.com/rnirdhar/yoloTestOneClass

Focal Loss for Dense Object Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.