https://github.com/UPCLJ/py-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Papers with Code 아카이브
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/UdbhavPrasad072300/GANs-Implementations
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/Ugenteraan/YOLOv1
https://github.com/UncleMEDM/Refer-it-in-RGBD
Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images
https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition
https://github.com/Uuuuuuho/Pillar_on_SoC
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/V3Det/Detectron2-V3Det
https://github.com/V3Det/mmdetection-V3Det
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch
https://github.com/VDIGPKU/OPANAS
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/VaanHUANG/CSCI5210HW1
https://github.com/VadymV/ICOS
Are we done with object recognition? The iCub robot's perspective
https://github.com/VandyCatLab/idvor
https://github.com/Veincore/f-pointnet
https://github.com/Veternal1226/YOLO_darknet
https://github.com/ViTAE-Transformer/ViTDet
Exploring Plain Vision Transformer Backbones for Object Detection
https://github.com/Victor-Martinez-Pozos/stacked_capsule_autoencoders
https://github.com/Vidhiwar/roughness-index
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
https://github.com/Vidhiwar/roughness-index-distance
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
https://github.com/Vijayabhaskar96/Object-Detection-Algorithms
https://github.com/VinishUchiha/Object-Detection-Using-Yolo4
https://github.com/Vishal-V/tf-models
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
https://github.com/VisionLearningGroup/DA_Detection
Strong-Weak Distribution Alignment for Adaptive Object Detection
https://github.com/Visual-Behavior/aloception
https://github.com/Visual-Behavior/detr-tensorflow
https://github.com/VisualComputingInstitute/SiamR-CNN
https://github.com/VisualComputingInstitute/mots_trackingonly_tools
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
https://github.com/ViswanathaReddyGajjala/EfficientNet-RetinaNet
https://github.com/Viveksbawa/SARAS-ESAD-Baseline
https://github.com/Vonski/wdi19
https://github.com/Vooban/Hyperopt-Keras-CNN-CIFAR-100
https://github.com/WWangYuHsiang/SMILEtrack
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
https://github.com/WXinlong/DenseCL
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
https://github.com/WYGNG/CenterNet-Pro
https://github.com/WYGNG/USTC_SSE_Project
https://github.com/WaelOuni/MergeTenserFlowWithOdb
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.