Papers with Code 아카이브
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/y2l/meta-transfer-learning-tensorflow
https://github.com/yakhyo/YOLOv1-pt
https://github.com/yangdashi888/CenterNet-windows
https://github.com/yanghai-1218/pseudoflow
https://github.com/yangkunpeng-coder/EfficientDet_libtorch
https://github.com/yanglei18/mix-teaching
Objects are Different: Flexible Monocular 3D Object Detection
https://github.com/yangyi02/3d_pose_fine_grained
https://github.com/yangyi02/densebox
DenseBox: Unifying Landmark Localization with End to End Object Detection
https://github.com/yangyi02/finegrained-pose
https://github.com/yangyucheng000/DETR
https://github.com/yangyucheng000/Mask-RCNN
https://github.com/yangyucheng000/Paper-3/tree/main/FPNet-MindSpore-master
https://github.com/yangyucheng000/Paper-4/tree/main/ProC-KD-main
ProContEXT: Exploring Progressive Context Transformer for Tracking
https://github.com/yangyucheng000/University/tree/main/model-1/owlv2
https://github.com/yangyucheng000/University/tree/main/model-1/owlvit
Simple Open-Vocabulary Object Detection with Vision Transformers
https://github.com/yangyucheng000/University/tree/main/model-2/conditional_detr
https://github.com/yangyucheng000/University/tree/main/model-3/sam
Underwater Camouflaged Object Tracking Meets Vision-Language SAM2
https://github.com/yangyucheng000/ascend_faster_rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/yangyucheng000/maskrcnn_mobilenetv1
https://github.com/yangyucheng000/papercode-2/tree/main/MC-GRA_Mindscope-main
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
https://github.com/yangyucheng000/papercode-2/tree/main/ProC-KD-main
ProContEXT: Exploring Progressive Context Transformer for Tracking
https://github.com/yanx27/Pointnet
https://github.com/yanxp/rcnn-discovery
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/yaolinli/capenrich
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/yaoming0712/dalinmask
https://github.com/yaoyao-liu/meta-transfer-learning
https://github.com/yaoyao-liu/mini-imagenet-tools
https://github.com/yashdani/Object-Detection-Using-YOLOv3-Algorithm
https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2
https://github.com/yassersouri/task-driven-object-detection
https://github.com/yaxi333/PointPainting-Modified
https://github.com/ycchiusieve/yolo3
https://github.com/yczhang1017/SSD_resnet_pytorch
https://github.com/yeahkun/caffe-yolo
https://github.com/yechanp/Membership-Inference-Attacks-Against-Object-Detection-Models
Membership Inference Attacks Against Object Detection Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.