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/TENNLab-UTK/dbscan
DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
https://github.com/TKGgunter/yolov4_tiny_rs
https://github.com/TaiwanRobert/iCAN_for_live_video
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
https://github.com/Tajamul21/Detection-Classification-and-Semantic_Segmentation-of-apples
MinneApple: A Benchmark Dataset for Apple Detection and Segmentation
https://github.com/TangDL/DCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/TangShengqin/ATSS-Pytorch
https://github.com/TanyaChutani/SSD-Tensorflow
https://github.com/TeamA2020/Practice
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
https://github.com/Techyee/darknet_resource
https://github.com/TejasBajania/Mtech_pro
https://github.com/TejasBajania/Mtech_thesis_project
https://github.com/ThanhDinhDat/center_net_points
https://github.com/TheClub4/car-detection-yolov2
https://github.com/TheHidden1/YOLO.JS
https://github.com/Theopetitjean/DenseFusion_R_Invariant
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/ThiagoPiovesan/PeopleCounter_module
https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow
https://github.com/Tianxiaomo/pytorch-YOLOv4
https://github.com/TianxingChen/RoboTwin
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
https://github.com/TimVerion/caffe_rfcn
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/TooTouch/WhiteBox-Part1
https://github.com/Tota-Nakatani/SSD_keras
https://github.com/TotoHugo/facedetection-lite-Outsystems
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/Totraproducts/AerialObjectDetection
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
https://github.com/Touyuki/Cover_generation
Specifying Object Attributes and Relations in Interactive Scene Generation
https://github.com/TraffiX-VideoQA/TUMTraffic-VideoQA-Baseline
TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
https://github.com/Trustworthy-AI-Group/TransferAttack
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
https://github.com/Tsejing/object_detection
https://github.com/TuSimple/mx-maskrcnn
https://github.com/TurtleGo/project-vehicle-detect
https://github.com/Tushar-N/interaction-hotspots
https://github.com/TusharMhaske28/Object-Detection
https://github.com/TusharMhaske28/Thermal-Object
https://github.com/TusharMhaske28/summer-project
https://github.com/UBC-Computer-Vision-Group/DwNet
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.