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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/logictensornetworks/logictensornetworks
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
https://github.com/logiklesuraj/SiamFC
https://github.com/logiklesuraj/siamfcex
https://github.com/lolrudy/kp-red
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
https://github.com/longbai1006/surgical-vqla
https://github.com/longcw/roialign.pytorch
https://github.com/longcw/yolo2-pytorch
https://github.com/lonnyzhang423/github-hot-hub
https://github.com/louisyuzhe/car-damage-detector
https://github.com/lrf008/yolov4
https://github.com/ls5122/mask-rcnn
https://github.com/lswzjuer/caffe-adas
https://github.com/ltnghia/ANet
https://github.com/ltnghia/CAMO
https://github.com/lucaerculiani/towards-visual-semantics
https://github.com/lucidrains/point-transformer-pytorch
https://github.com/lucidrains/slot-attention
https://github.com/lucylow/salty-wet-man
https://github.com/lufan31/comprecap
https://github.com/lufficc/SSD
https://github.com/lukasHoel/3rscan-triplet-dataset-toolkit
re-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-identification
https://github.com/lukemelas/deep-spectral-segmentation
Localizing Objects with Self-Supervised Transformers and no Labels
https://github.com/lukemelas/realfusion
RealFusion: 360° Reconstruction of Any Object from a Single Image
https://github.com/lukewenMX/RCNN_simple_detection
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/lukoucky/image_recommendation
https://github.com/lvis-dataset/lvis-api
https://github.com/lvsn/6DOF_tracking_evaluation
https://github.com/lvsn/ZeroComp
https://github.com/lvweiwolf/efficientdet
https://github.com/lxx1991/VS-ReID
https://github.com/lyk19940625/MyRFBNet
https://github.com/lyqcom/efficientdet
https://github.com/lyqcom/fasterrcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/lyqcom/fasterrcnn-fpn-dcn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/lyxok1/Tiny-DSOD
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.