Papers with Code 아카이브
Object
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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/esimov/pigo
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/ethanhou99/ml_learn
https://github.com/ethanluoyc/transporter-pytorch
Unsupervised Learning of Object Keypoints for Perception and Control
https://github.com/ethvis/qd-track
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
https://github.com/eunjnnn/bfstvsr
https://github.com/eunseo1092/Object-Detection
https://github.com/euske/derpyolo
https://github.com/euske/miniyolo
https://github.com/evaristr/py-faster_rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/evarsha/YOLO-Object-Detection
https://github.com/ezelikman/anonymal
Fast Online Object Tracking and Segmentation: A Unifying Approach
https://github.com/fabhertz95/HATS
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
https://github.com/fabiofumarola/ultrayolo
https://github.com/facebookresearch/ActivityNet-Entities
Team RUC_AIM3 Technical Report at ActivityNet 2021: Entities Object Localization
https://github.com/facebookresearch/DomainBed
Domain Generalization for Object Recognition with Multi-task Autoencoders
https://github.com/facebookresearch/deepmask
https://github.com/facebookresearch/detectron2
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/facebookresearch/detectron2/tree/master/projects/TridentNet/
https://github.com/facebookresearch/disentangling-correlated-factors
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
https://github.com/facebookresearch/habitat-api
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
https://github.com/facebookresearch/habitat-challenge
Object Goal Navigation using Goal-Oriented Semantic Exploration
https://github.com/facebookresearch/multipathnet
https://github.com/facebookresearch/phyre
https://github.com/facebookresearch/swav
https://github.com/facebookresearch/wypr
https://github.com/facundoq/transformational_measures_experiments
https://github.com/fanneng/caffe
https://github.com/fanq15/FSOD-code
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
https://github.com/fanq15/Few-Shot-Object-Detection-Dataset
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
https://github.com/fantasystarwd/Openpose-Depth-CaffeTraining
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/fanyix/STMN
Video Object Detection with an Aligned Spatial-Temporal Memory
https://github.com/fdac18/ForensicImages
https://github.com/feidfoe/AdjustBnd4Imbalance
https://github.com/feiyuhuahuo/PAA_minimal
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
https://github.com/feizc/Object-Detection-Pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.