Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/solaris33/YOLO-v1-tf2
https://github.com/sonnguyen64/horus-tf-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/soo89/ISD-SSD
Interpolation-based semi-supervised learning for object detection
https://github.com/sophiaalexander/GANDissect-for-High-Schoolers
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
https://github.com/sophiaalexander/GANs-for-High-Schoolers
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
https://github.com/sorg20/RPN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/sosppxo/3d-gres
https://github.com/soulguy/Faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/spencerkraisler/Finger-Counter
https://github.com/spirka3/master-cnn
https://github.com/sprenkle/VectorCards
https://github.com/sremes/a2d2
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
https://github.com/srihari-humbarwadi/YOLOv1-TensorFlow2.0
https://github.com/srihari-humbarwadi/retinanet-tensorflow2.x
https://github.com/srihari-humbarwadi/tensorflow_fcos
https://github.com/srihari-humbarwadi/tensorflow_retinanet
https://github.com/sriluk9/MalariaCells-ObjectDetection-Using-FasterRCNN
Applying Faster R-CNN for Object Detection on Malaria Images
https://github.com/srinu6/Stereo-3D-Object-Detection-for-Autonomous-Driving
Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/sryab2001/Yolo-CG
https://github.com/sryab2001/aquasaiclone
https://github.com/ssanyachetwani/Fashion-Trend-Detection-and-Recommendation-Model
https://github.com/ssaru/You_Only_Look_Once
https://github.com/sshaoshuai/PV-RCNN
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/stanford-iprl-lab/sceneflownet
Motion-based Object Segmentation based on Dense RGB-D Scene Flow
https://github.com/stanifrolov/attrlostgan
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
https://github.com/stanlee321/LightFlow-Keras
https://github.com/stanlee321/LightFlow-TensorFlow
https://github.com/stanleycelestin1/AirsimDetectron
https://github.com/stanleyjzheng/PyData
https://github.com/starimpact/arm_SNIPER
R-FCN-3000 at 30fps: Decoupling Detection and Classification
https://github.com/stdbreaks/centernet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.