https://github.com/unclemedm/instpifu
Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images
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/unsky/FPN
https://github.com/unsky/RetinaNet
https://github.com/unsky/focal-loss
https://github.com/untitled-ai/slot_attention
https://github.com/usnistgov/object-detection-yolov3
https://github.com/usr922/plda
https://github.com/ut-austin-rpl/forge
Few-View Object Reconstruction with Unknown Categories and Camera Poses
https://github.com/utkarshojha/elastic-infogan
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data
https://github.com/uvipen/ssd-pytorch
https://github.com/v1viswan/RANet_modifications
RANet: Ranking Attention Network for Fast Video Object Segmentation
https://github.com/vacancy/Synchronized-BatchNorm-PyTorch
https://github.com/vadimkantorov/contextlocnet
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
https://github.com/vahidkhosh/squeezeDet
https://github.com/vahidkhosh/squeezedet-keras
https://github.com/val-iisc/pose_estimation
https://github.com/valentina-kustikova/dnn-object-detectors-comp
https://github.com/vamshi4067/Anomaly-detection-using-computer-vision
https://github.com/vandangorade/BrandLOGO_detection
https://github.com/vantupham/darknet
https://github.com/varunagrawal/tiny-faces-pytorch
Hypercolumns for Object Segmentation and Fine-grained Localization
https://github.com/vasgaowei/ts-cam-voc
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
https://github.com/vasukumar92/Autonomous-driving---Car-detection
https://github.com/venkai/RBDN
https://github.com/venkatsai249/robo_locomotion
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
https://github.com/veralauee/DPatch
https://github.com/verityw/manipulation-final-project
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/verlab/3d-object-semantic-mapping
https://github.com/vicco-group/thingsvision
Harmonizing the object recognition strategies of deep neural networks with humans
https://github.com/vicoslab/cedirnet-3dof
https://github.com/victordibia/handtracking
https://github.com/victoria-lokteva/Performance-Monitoring-of-Object-Detection
Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment
https://github.com/vierachen/maskrcnn
https://github.com/vietanhdev/centernet-bdd-data
https://github.com/vietanhdev/centernet-bdd-data-onnx-conversion
https://github.com/vietanhdev/open-adas
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.