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/ldjlammers/Hide-and-Seek-CS4240
https://github.com/leduckhai/Global-Wheat-Detection-Kaggle
https://github.com/lee-man/movenet
https://github.com/leehangyu/MultiGrain_Application
MultiGrain: a unified image embedding for classes and instances
https://github.com/leejang/two_stream_ssd_caffe
https://github.com/leggedrobotics/darknet
https://github.com/leggedrobotics/darknet_ros
https://github.com/leoandeol/cods
https://github.com/leob03/E2E_Object_Pose_Estimator
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/leobean/CenterNet_oriented
https://github.com/leochangzliao/OPBM
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/leokarlin/StarNet
StarNet: towards Weakly Supervised Few-Shot Object Detection
https://github.com/leoliao2008/TensorflowMobileOfficialExample
https://github.com/leon-liangwu/MaskYolo_Caffe
https://github.com/leon-liangwu/py-caffe-yolo
https://github.com/leon1207/3dreftr
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
https://github.com/leonardhan1979/fasterRCNN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/efficientdet
https://github.com/levinwil/MulteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
https://github.com/levinwil/MyteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
https://github.com/lexisnexis-risk-open-source/ledetection
https://github.com/lh641446825/NOCS_2019CVPR
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/lhaof/Salient-Object-Detection-Papers
https://github.com/lhaof/fast-salient-object-detection
https://github.com/lhcezx/Graph-FPN
https://github.com/li-yibing/oceannet
https://github.com/liangheming/faster_rcnnv1
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/liangheming/sparse_rcnnv1
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
https://github.com/libiseller/MobileNetV2-dynamicFPN
https://github.com/lichengunc/mask-faster-rcnn
https://github.com/lichuanqi/YOLOV4_Darknet
https://github.com/lidio601/node-facedetect-supyo
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/lifebeyondexpectations/eccv22-pointmixer
https://github.com/lifelong-robotic-vision/lifelong-object-recognition-challenge
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
https://github.com/ligaripash/KWtQ-face-alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.