https://github.com/rucv/golf_ball
공식 코드Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rui-qian/SoTA-3D-Object-Detection
공식 코드https://github.com/rui-qian/badet
공식 코드https://github.com/ruinmessi/ASFF
공식 코드https://github.com/ruinmessi/RFBNet
공식 코드Receptive Field Block Net for Accurate and Fast Object Detection
https://github.com/ruitian12/resformer
공식 코드https://github.com/ruixing123/pdt_cwc_yolo-dp
공식 코드PDT: Uav Target Detection Dataset for Pests and Diseases Tree
https://github.com/ruixxxx/sfuda
공식 코드Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
https://github.com/ruiyang-061x/lise
공식 코드Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
https://github.com/ruiyangju/bone_fracture_detection_yolov8
공식 코드Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm
https://github.com/ruiyangju/fce-yolov8
공식 코드Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images
https://github.com/ruiyangju/fracture_detection_improved_yolov8
공식 코드YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection
https://github.com/ruiyangju/yolov8_global_context_fracture_detection
공식 코드Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection
https://github.com/ruiyangju/yolov9-fracture-detection
공식 코드YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
https://github.com/ruiyum/stone
공식 코드STONE: A Submodular Optimization Framework for Active 3D Object Detection
https://github.com/ruizvitor/ANDA
공식 코드ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection
https://github.com/rumsyx/RPCF
공식 코드https://github.com/runpeidong/pointdistiller
공식 코드PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
https://github.com/ruoyuchen10/vps
공식 코드Interpreting Object-level Foundation Models via Visual Precision Search
https://github.com/russellllaputa/MIRL
공식 코드Masked Image Residual Learning for Scaling Deeper Vision Transformers
https://github.com/rvandeghen/ASTOD
공식 코드https://github.com/rwgai/rwds
공식 코드Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
https://github.com/rwightman/pytorch-image-models
공식 코드https://github.com/ryoo72/una
공식 코드Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
https://github.com/s4nyam/gradcam-yolo
공식 코드Adversarial Attack On Yolov5 For Traffic And Road Sign Detection
https://github.com/sa4s-serc/adamls
공식 코드Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching
https://github.com/sabrikhalil/micro_mobility_detection
공식 코드https://github.com/sacmehta/EdgeNets
공식 코드ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
https://github.com/sad192/large-kernel-transformer
공식 코드LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution
https://github.com/sadrultoaha/signboard-detection
공식 코드Automatic Signboard Detection and Localization in Densely Populated Developing Cities
https://github.com/saeed-anwar/SRsurvey
공식 코드https://github.com/safednn-group/naptron
공식 코드Detecting Out-of-distribution Objects Using Neuron Activation Patterns
https://github.com/safednn-group/safednn-clean
공식 코드https://github.com/safetylab24/FusionCVCP
공식 코드CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box Prediction
https://github.com/safouaneelg/FusionVision
공식 코드https://github.com/safouaneelg/SRT2I
공식 코드Class-Conditional self-reward mechanism for improved Text-to-Image models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.