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/SanketAgrawal/Catagorical-Focal-Loss
https://github.com/Seioch/darknet_v4_deploy
https://github.com/SeniorDesignF20/AmazonUnderstandingProductImages
https://github.com/SeniorDev009/ONNX-project
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/Sense-X/TSD
https://github.com/SeventhBlue/trainDarknet-yolov3
https://github.com/SeventhBlue/trainDarknet-yolov4
https://github.com/SfTI-Robotics/ROS-label-node
https://github.com/ShaharrHorn/Detection-Game-logic
https://github.com/Shank2358/GGHL
Multi-Grained Angle Representation for Remote Sensing Object Detection
https://github.com/Shantanu48114860/MTL-TCNN3
Using Filter Banks in Convolutional Neural Networks for Texture Classification
https://github.com/ShaojieJiang/tldr
https://github.com/SharifElfouly/easy-model-zoo
https://github.com/Sharpiless/Point-Transformer-Pytorch
https://github.com/Sharpiless/pp-yolo-vehcile-detection-and-distance-estimation-for-self-driving
PP-YOLO: An Effective and Efficient Implementation of Object Detector
https://github.com/Sharpiless/yolov3-vehicle-detection-paddle
https://github.com/ShigemichiMatsuzaki/MSPL
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
https://github.com/ShihuaHuang95/FaPN-full
https://github.com/ShilpaJagadeeshappa/SikuliX
https://github.com/ShivamPrajapati2001/People_Counter
https://github.com/Shraddha2013/customyolo
https://github.com/Shraddha2013/darknett
https://github.com/Shraddha2013/darknetyol
https://github.com/Shraddha2013/darknetyolo
https://github.com/Shraddha2013/darknetyolo3
https://github.com/Shraddha2013/mydarknetyolo
https://github.com/Shraddha2013/myfileyolo
https://github.com/Shritesh99/100DaysofMLCodeChallenge
https://github.com/ShuhanChen/RAS_ECCV18
https://github.com/Shulk97/JPEG_detection_INSA_ROUEN_project
https://github.com/Shulk97/JPEG_detection_Resnet_SSD
https://github.com/ShunyuYao/blitznet_instance_segment
https://github.com/SiHaoShen/Convolutional-Neural-Networks
https://github.com/SilvioGiancola/TrackingNet-devkit
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
https://github.com/SilvioGiancola/maskrcnn-benchmark
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.