TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Methods/PnP

PnP

Computer VisionIntroduced 2000114 papers
Source Paper

Description

PnP, or Poll and Pool, is sampling module extension for DETR-type architectures that adaptively allocates its computation spatially to be more efficient. Concretely, the PnP module abstracts the image feature map into fine foreground object feature vectors and a small number of coarse background contextual feature vectors. The transformer models information interaction within the fine-coarse feature space and translates the features into the detection result.

Papers Using This Method

GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft2025-07-15Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction2025-06-17Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models2025-06-06Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging2025-05-29Plug-and-Play Posterior Sampling for Blind Inverse Problems2025-05-28Linear Convergence of Plug-and-Play Algorithms with Kernel Denoisers2025-05-21Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems2025-05-13Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions2025-05-05PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems2025-04-14BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation2025-04-10Co-op: Correspondence-based Novel Object Pose Estimation2025-03-22Deep End-to-End Posterior ENergy (DEEPEN) for image recovery2025-03-21Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems2025-03-20Foundation Feature-Driven Online End-Effector Pose Estimation: A Marker-Free and Learning-Free Approach2025-03-18Deep Learning-based OTFS Channel Estimation and Symbol Detection with Plug and Play Framework2025-03-14GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats2025-03-11AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation2025-03-09Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual2025-03-03EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration2025-02-28A Monocular Event-Camera Motion Capture System2025-02-17