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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/Megvii-Nanjing/CR-DA-DET
공식 코드Exploring Categorical Regularization for Domain Adaptive Object Detection
https://github.com/MegviiDetection/FSCE
공식 코드FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
https://github.com/Mehrdad-Noori/CAGNet
공식 코드https://github.com/Mehrdad-Noori/Saliency-Evaluation-Toolbox
공식 코드https://github.com/Menace-Dragon/VP-QOD
공식 코드https://github.com/Meowuu7/equi-articulated-pose
공식 코드Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
https://github.com/Mhaiyang/CVPR2021_PFNet
공식 코드https://github.com/MikeS96/3d_obj_detection
공식 코드High-level camera-LiDAR fusion for 3D object detection with machine learning
https://github.com/MuchHair/PD-Net
공식 코드Polysemy Deciphering Network for Robust Human-Object Interaction Detection
https://github.com/Muhammad-Huzaifaa/ObjectCompose
공식 코드https://github.com/MultiGrasp/MultiGrasp
공식 코드https://github.com/Mxbonn/anchor_pruning
공식 코드https://github.com/NOrangeeroli/SecondPose
공식 코드SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
https://github.com/NUAAXQ/MLCVNet
공식 코드MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN
공식 코드Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
https://github.com/NUST-Machine-Intelligence-Laboratory/nsrom
공식 코드Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
https://github.com/NVIDIA/pix2pixHD
공식 코드High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/NVlabs/BundleSDF
공식 코드BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
https://github.com/NVlabs/CenterPose
공식 코드Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image
https://github.com/NVlabs/DICOD
공식 코드https://github.com/NVlabs/FocalFormer3D
공식 코드FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
https://github.com/NVlabs/Instance_Insertion
공식 코드https://github.com/NVlabs/PoseRBPF
공식 코드PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
https://github.com/NVlabs/RIO
공식 코드Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
https://github.com/NVlabs/RVT
공식 코드https://github.com/NVlabs/RelViT
공식 코드RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
https://github.com/NVlabs/SSV
공식 코드https://github.com/NVlabs/dex-ycb-toolkit
공식 코드https://github.com/NVlabs/meshlets
공식 코드https://github.com/NVlabs/wetectron
공식 코드Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
https://github.com/Na-Z/sess
공식 코드https://github.com/Nachwa/object_states
공식 코드https://github.com/NagabhushanSN95/DeCOMPnet
공식 코드https://github.com/NanboLi/MulMON
공식 코드Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
https://github.com/Nanyangny/CenterTrack-IOU
공식 코드Multi-object Tracking with Tracked Object Bounding Box Association
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.