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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/LONGXUANX/CDFormer_code
공식 코드CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
https://github.com/LPXTT/GradNet-Pytorch
공식 코드https://github.com/LPXTT/GradNet-Tensorflow
공식 코드https://github.com/LamannaLeonardo/OGAMUS
공식 코드Online Grounding of Symbolic Planning Domains in Unknown Environments
https://github.com/Lans1ng/OSSOD
공식 코드Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images
https://github.com/Lans1ng/SFOD-RS
공식 코드https://github.com/Lausannen/NAS-FCOS
공식 코드NAS-FCOS: Efficient Search for Object Detection Architectures
https://github.com/LeapLabTHU/ARC
공식 코드https://github.com/LiWentomng/OrientedRepPoints
공식 코드https://github.com/LilianHollard/LeYOLO
공식 코드LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection
https://github.com/LingLIx/THz_Dataset
공식 코드Active Terahertz Imaging Dataset for Concealed Object Detection
https://github.com/LingyiHongfd/LVOS
공식 코드https://github.com/LituRout/SiameseFC-DSR
공식 코드Rotation Adaptive Visual Object Tracking with Motion Consistency
https://github.com/LiyaoJiang1998/PixelMan
공식 코드PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
https://github.com/Liz66666/SIENet
공식 코드SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
https://github.com/Lucia-Ningning/Adaptive_Fusion_RGBD_Saliency_Detection
공식 코드https://github.com/MCG-NJU/MOTIP
공식 코드https://github.com/MCG-NJU/SportsMOT
공식 코드SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes
https://github.com/MIC-DKFZ/nnDetection
공식 코드nnDetection: A Self-configuring Method for Medical Object Detection
https://github.com/MICV-yonsei/EAGLE
공식 코드EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
https://github.com/MRLoghmani/rcfusion
공식 코드https://github.com/MahyarNajibi/SNIPER
공식 코드R-FCN-3000 at 30fps: Decoupling Detection and Classification
https://github.com/MalongTech/research-fad
공식 코드Representation Sharing for Fast Object Detector Search and Beyond
https://github.com/MarcBS/Ego-Object_Discovery
공식 코드https://github.com/MartinHahner/LiDAR_fog_sim
공식 코드Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
https://github.com/MasterBin-IIAU/UNINEXT
공식 코드Universal Instance Perception as Object Discovery and Retrieval
https://github.com/MathLee/CMWNet
공식 코드https://github.com/MathLee/ICNet-for-RGBD-SOD
공식 코드https://github.com/MathLee/OLBPNet4PFOS
공식 코드Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation
https://github.com/Mazin-Hnewa/MS-DAYOLO
공식 코드Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection
https://github.com/McGill-AML/aml_robot_cutting_dataset
공식 코드Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
https://github.com/MedChaabane/DEFT
공식 코드https://github.com/Megvii-BaseDetection/AutoAssign
공식 코드AutoAssign: Differentiable Label Assignment for Dense Object Detection
https://github.com/Megvii-BaseDetection/BorderDet
공식 코드https://github.com/Megvii-BaseDetection/GFSD
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.