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2D Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lzyhha/aodraw
공식 코드https://github.com/m-g-a/3d-metrics
공식 코드Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of Freedom
https://github.com/m-g-a/care3d
공식 코드Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments
https://github.com/m-nauta/pipnet
공식 코드Interpreting and Correcting Medical Image Classification with PIP-Net
https://github.com/m4nh/ars
공식 코드https://github.com/ma-xu/fcvit
공식 코드A Close Look at Spatial Modeling: From Attention to Convolution
https://github.com/machengcheng2016/Subspace-Prompt-Learning
공식 코드Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
https://github.com/machengcheng2016/crossteaching-ssod
공식 코드CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection
https://github.com/maclong01/DeBiFormer
공식 코드DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention
https://github.com/madave94/gtiod
공식 코드https://github.com/maelic/sgg-benchmark
공식 코드REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph Generation
https://github.com/magic-research/dataset_quantization
공식 코드https://github.com/magrinigabriele/nerdd
공식 코드Neuromorphic Drone Detection: an Event-RGB Multimodal Approach
https://github.com/mahdi65/roadDamageDetection2020
공식 코드An Efficient and Scalable Deep Learning Approach for Road Damage Detection
https://github.com/mahdiyarmm/continual-pedestrian-detection
공식 코드Continual Learning for Out-of-Distribution Pedestrian Detection
https://github.com/mahedikamal/anna-a-deep-learning-based-dataset-in-heterogenous-traffic-for-autonomous-vehicles
공식 코드ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles
https://github.com/mahehu/TUT-live-age-estimator
공식 코드https://github.com/maikwischow/camera-condition-monitoring
공식 코드Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles
https://github.com/maitysubhajit/selfdocseg
공식 코드SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation
https://github.com/makhtar17004/orientation-aware-firearm-detection
공식 코드https://github.com/mala-lab/sic-cads
공식 코드Simple Image-level Classification Improves Open-vocabulary Object Detection
https://github.com/malagoutou/Inner-IoU
공식 코드Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box
https://github.com/malagoutou/focaler-iou
공식 코드https://github.com/malagoutou/select-mosaic
공식 코드Select-Mosaic: Data Augmentation Method for Dense Small Object Scenes
https://github.com/malagoutou/shape-iou
공식 코드Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale
https://github.com/malga-vision/fastervideo
공식 코드FasterVideo: Efficient Online Joint Object Detection And Tracking
https://github.com/mali-farooq/thermal-yolo-and-model-optimization-using-tensorflowlite
공식 코드https://github.com/malicd/sailor
공식 코드SAILOR: Scaling Anchors via Insights into Latent Object Representation
https://github.com/manishnagaraj/DOTIE
공식 코드DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
https://github.com/manjahdani/csbad
공식 코드Camera clustering for scalable stream-based active distillation
https://github.com/manoja328/rodeo
공식 코드https://github.com/manoja328/tallyqacode
공식 코드https://github.com/mansoor-at/semi-supervised-surgical-tool-detection
공식 코드A semi-supervised Teacher-Student framework for surgical tool detection and localization
https://github.com/manymuch/ground_normal_filter
공식 코드Towards Accurate Ground Plane Normal Estimation from Ego-Motion
https://github.com/marc1198/chat-hsr
공식 코드LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.