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/thekoshkina/blackai-challenge
https://github.com/theodorakontogianni/interobject3d
https://github.com/theostoican/Guided-Research/blob/main/finetuning_odin_resnet.ipynb
https://github.com/thodorostsao/4-leg-robot-neural-network
https://github.com/thtrieu/darkflow
https://github.com/thuml/Transfer-Learning-Library/tree/dev-tllib/examples/domain_adaptation/object_detection
https://github.com/thusiyuan/holistic_scene_parsing
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
https://github.com/tiagoCuervo/JapaNet
https://github.com/tianaidong/2021splu-robonlp-vispa
GuessWhat?! Visual object discovery through multi-modal dialogue
https://github.com/tiancity-NJU/da-faster-rcnn-PyTorch
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/tianhai123/tf-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/tianhai123/yolov3
https://github.com/tianrun-chen/sam-adapter-pytorch
https://github.com/tianweiy/CenterPoint-KITTI
https://github.com/tianyu-tristan/Visual-Attention-Model
https://github.com/tiepvupsu/DICTOL
Learning a low-rank shared dictionary for object classification
https://github.com/tiepvupsu/DICTOL_python
Learning a low-rank shared dictionary for object classification
https://github.com/tiev-tongji/quadric_slam
https://github.com/tigerofmurder/tf-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/timho102003/Background-Aware-CAM-WSOL
Background-aware Classification Activation Map for Weakly Supervised Object Localization
https://github.com/timothyn617/watershed-transform
https://github.com/tinh2044/YOLO12-UnderWater
https://github.com/titu1994/Keras-Group-Normalization
https://github.com/tkdguraa/point-transformer-tensorflow
https://github.com/tkuanlun350/Kaggle_Ship_Detection_2018
Soft-NMS -- Improving Object Detection With One Line of Code
https://github.com/tmbaoloc/darknet
https://github.com/tmoopenn/seq-nms
https://github.com/toandaominh1997/EfficientDet.Pytorch
https://github.com/tolotrasamuel/real-time-object-detection-retraining-ncs-raspberry-pi
https://github.com/tom-roddick/oft
Orthographic Feature Transform for Monocular 3D Object Detection
https://github.com/tomasjakab/imm
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/tommyjtl/darknet-colab
https://github.com/tonysy/pointnet2_tf
https://github.com/topdu/openocr
A Multi-Object Rectified Attention Network for Scene Text Recognition
https://github.com/tops666/volo-v4-
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.