Single Particle Analysis

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (106 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Habitat 2.0: Training Home Assistants to Rearrange their Habitat
  28 Jun 2021 6 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  We introduce Habitat 2.
• Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
  12 Sep 2023 2 repositories listed
  Our approach, named Model Contrastive Learning for Image Restoration (MCLIR), rejuvenates latency models as negative models, making it compatible with diverse image restoration tasks.
• SpA-Former: Transformer image shadow detection and removal via spatial attention
  22 Jun 2022 2 repositories listed
  In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image.
• Learning to recover orientations from projections in single-particle cryo-EM
  13 Apr 2021 2 repositories listed
  Our approach consists of two steps: (i) the estimation of distances between pairs of projections, and (ii) the recovery of the orientation of each projection from these distances.
• Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network
  28 Sep 2020 2 repositories listed
  Optical remote sensing imagery has been widely used in many fields due to its high resolution and stable geometric properties.
• Improved Algorithm and Bounds for Successive Projection
  16 Mar 2024 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Vertex hunting is the problem of estimating the K vertices of the simplex.
• SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference
  11 Mar 2024 1 repository listed
  Large language models(LLMs) have shown its outperforming ability on various tasks and question answering.
• A Structural-Clustering Based Active Learning for Graph Neural Networks
  7 Dec 2023 1 repository listed
  To address this problem, we propose the Structural-Clustering PageRank method for improved Active learning (SPA) specifically designed for graph-structured data.
• SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
  26 Oct 2023 1 repository listed Syntology ran 10 of 12 samples · 2 unverified · 12 pointer-only (licence)
  The core of our method is briefly condensed as follows: (i)-by casting the DA problem to graph primitives, SPA composes a coarse graph alignment mechanism with a novel spectral regularizer towards aligning the domain…
• MetaWeather: Few-Shot Weather-Degraded Image Restoration
  28 Aug 2023 1 repository listed
  Extending a powerful meta-learning framework, MetaWeather formulates the task of weather-degraded image restoration as a few-shot adaptation problem that predicts the degradation pattern of a query image, and learns to…
• VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
  19 Aug 2023 1 repository listed Syntology ran 9 of 10 samples · 1 unverified
  We apply the proposed VI-Net to the challenging task of category-level 6D object pose estimation for predicting the poses of unknown objects without available CAD models; experiments on the benchmarking datasets confirm…
• A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
  15 Aug 2023 1 repository listed
  Though KGE models' capabilities are analyzed over different relational patterns in theory and a rough connection between better relational patterns modeling and better performance of KGC has been built, a comprehensive…
• Robust Multi-Agent Reinforcement Learning with State Uncertainty
  30 Jul 2023 1 repository listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  Then we propose a robust multi-agent Q-learning (RMAQ) algorithm to find such an equilibrium, with convergence guarantees.
• Structured Pruning Adapters
  17 Nov 2022 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  To improve on this, we propose Structured Pruning Adapters (SPAs), a family of compressing, task-switching network adapters, that accelerate and specialize networks using tiny parameter sets and structured pruning.
• Search to Pass Messages for Temporal Knowledge Graph Completion
  30 Oct 2022 1 repository listed
  In particular, we develop a generalized framework to explore topological and temporal information in TKGs.
• Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal
  14 Jun 2022 1 repository listed
  However, jointly removing the rain and haze in scene images is ill-posed and challenging, where the existence of haze and rain and the change of atmosphere light, can both degrade the scene information.
• Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
  30 Mar 2022 1 repository listed
  In this paper, we develop and evaluate efficient strategies to improve the performance of the factor graph-based symbol detection by means of neural enhancement.
• Ab-initio Contrast Estimation and Denoising of Cryo-EM Images
  15 Feb 2022 1 repository listed
  We show that the contrast variability can be derived from the 2-D covariance matrix and we apply the existing Covariance Wiener Filtering (CWF) framework to estimate it.
• Smoothed Separable Nonnegative Matrix Factorization
  11 Oct 2021 1 repository listed
  More recently, Bhattacharyya and Kannan (ACM-SIAM Symposium on Discrete Algorithms, 2020) proposed an algorithm for learning a latent simplex (ALLS) that relies on the assumption that there is more than one nearby data…
• Incorporating Surprisingly Popular Algorithm and Euclidean Distance-based Adaptive Topology into PSO
  25 Aug 2021 1 repository listed
  While many Particle Swarm Optimization (PSO) algorithms only use fitness to assess the performance of particles, in this work, we adopt Surprisingly Popular Algorithm (SPA) as a complementary metric in addition to…
• Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data
  23 May 2021 1 repository listed
  In this paper, we focus on alleviating the negative effect of domain shift in both appearance and pose space for 3D human pose estimation by presenting our adapted human pose (AHuP) approach.
• Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
  8 Mar 2021 1 repository listed
  Weakly supervised object localization(WSOL) remains an open problem given the deficiency of finding object extent information using a classification network.
• Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
  19 Oct 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Top quarks, produced in large numbers at the Large Hadron Collider, have a complex detector signature and require special reconstruction techniques.
• Momentum via Primal Averaging: Theoretical Insights and Learning Rate Schedules for Non-Convex Optimization
  1 Oct 2020 1 repository listed
  Momentum methods are now used pervasively within the machine learning community for training non-convex models such as deep neural networks.
• Improving the resolution of Cryo-EM single particle analysis
  11 Mar 2020 1 repository listed
  We proposed to enforce both sparsity and smoothness to improve the regularity of electron density map in the refinement process.
• Classification via local manifold approximation
  3 Mar 2019 1 repository listed
  It is challenging to obtain accurate classification performance when the feature distributions in the different classes are complex, with nonlinear, overlapping and intersecting supports.
• DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
  6 May 2016 1 repository listed
  Particle picking is a time-consuming step in single-particle analysis and often requires significant interventions from users, which has become a bottleneck for future automated electron cryo-microscopy (cryo-EM).

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.