Feature Correlation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 60 papers with code (124 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.

• Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
  2 Jun 2020 3 repositories listed
  By combining the new CS-NL prior with local and in-scale non-local priors in a powerful recurrent fusion cell, we can find more cross-scale feature correlations within a single low-resolution (LR) image.
• Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
  26 Apr 2024 2 repositories listed
  Contrastive learning is a model pre-training technique by first creating similar views of the original data, and then encouraging the data and its corresponding views to be close in the embedding space.
• Correlation Verification for Image Retrieval
  4 Apr 2022 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Geometric verification is considered a de facto solution for the re-ranking task in image retrieval.
• Deep Graph Clustering via Dual Correlation Reduction
  29 Dec 2021 2 repositories listed
  To address this issue, we propose a novel self-supervised deep graph clustering method termed Dual Correlation Reduction Network (DCRN) by reducing information correlation in a dual manner.
• GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
  16 Sep 2020 2 repositories listed Syntology ran 18 of 22 samples · 4 unverified · 22 pointer-only (licence)
  We propose GOCor, a fully differentiable dense matching module, acting as a direct replacement to the feature correlation layer.
• Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
  25 Jun 2025 1 repository listed Syntology ran 8 of 9 samples · 1 unverified · 9 pointer-only (licence)
  Contrastive learning (CL) has become a cornerstone of self-supervised pretraining (SSP) in foundation models, however, extending CL to pixel-wise representation, crucial for medical vision, remains an open problem.
• Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation
  7 Jun 2025 1 repository listed
  MSD-CoT progressively disentangles image captions to eliminate semantic ambiguity, while RDVP injects spatial constraints into visual prompting and independently samples visual prompts for foreground and background…
• M³-Impute: Mask-guided Representation Learning for Missing Value Imputation
  11 Oct 2024 1 repository listed
  Missing values are a common problem that poses significant challenges to data analysis and machine learning.
• Principal Orthogonal Latent Components Analysis (POLCA Net)
  9 Oct 2024 1 repository listed
  Representation learning is a pivotal area in the field of machine learning, focusing on the development of methods to automatically discover the representations or features needed for a given task from raw data.
• Fairness-Aware Streaming Feature Selection with Causal Graphs
  17 Aug 2024 1 repository listed
  The technical challenge of our setting is twofold: 1) streaming feature inputs, such that an informative feature may become obsolete or redundant for prediction if its information has been covered by other similar…
• Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
  25 Jun 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Consequently, we apply feature correlation as a proxy for monosemanticity and incorporate a feature decorrelation regularizer into the dynamic preference optimization process.
• Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance
  4 Jun 2024 1 repository listed
  Graph Neural Networks (GNNs) have excelled in predicting graph properties in various applications ranging from identifying trends in social networks to drug discovery and malware detection.
• Minimizing Chebyshev Prototype Risk Magically Mitigates the Perils of Overfitting
  10 Apr 2024 1 repository listed
  Overparameterized deep neural networks (DNNs), if not sufficiently regularized, are susceptible to overfitting their training examples and not generalizing well to test data.
• Ads Recommendation in a Collapsed and Entangled World
  22 Feb 2024 1 repository listed
  We present Tencent's ads recommendation system and examine the challenges and practices of learning appropriate recommendation representations.
• Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph
  14 Feb 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  In this paper, we argue that properly fetching and condensing the background nodes from massive web graph data might be a more economical shortcut to tackle the obstacles fundamentally.
• Correlation-Embedded Transformer Tracking: A Single-Branch Framework
  23 Jan 2024 1 repository listed
  Thus, we reformulate the two-branch Siamese tracking as a conceptually simple, fully transformer-based Single-Branch Tracking pipeline, dubbed SBT.
• Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms
  28 Dec 2023 1 repository listed
  In this study, we focus on improving the early detection and accurate diagnosis of breast abnormalities, which is crucial for improving patient outcomes and reducing the mortality rate of breast cancer.
• Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
  18 Dec 2023 1 repository listed
  Instead of performing correlation of the two branches at just one point in the network, in this paper, we present a multi-correlation Siamese Transformer network that has multiple stages and carries out feature…
• Regenerating Arbitrary Video Sequences with Distillation Path-Finding
  13 Nov 2023 1 repository listed
  The critical contrast of our approach versus prior work and existing commercial applications is that novel sequences with arbitrary starting frame are produced by our system with a consistent degree in both content and…
• AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation
  25 Sep 2023 1 repository listed
  Understanding indoor scenes is crucial for urban studies.
• Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
  21 Sep 2023 1 repository listed
  We achieve this by (1) learning depth-feature correlation by spatially correlate the feature maps with the depth maps to induce knowledge about the structure of the scene and (2) implementing farthest-point sampling to…
• Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
  18 Aug 2023 1 repository listed
  Class prototype construction and matching are core aspects of few-shot action recognition.
• VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
  5 Jul 2023 1 repository listed
  However, due to privacy restrictions, few public real-world VFL datasets exist for algorithm evaluation, and these represent a limited array of feature distributions.
• Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching
  9 May 2023 1 repository listed
  3D dynamic point cloud (DPC) compression relies on mining its temporal context, which faces significant challenges due to DPC's sparsity and non-uniform structure.
• Instance-Aware Domain Generalization for Face Anti-Spoofing
  12 Apr 2023 1 repository listed
  To address these issues, we propose a novel perspective for DG FAS that aligns features on the instance level without the need for domain labels.
• Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation
  19 Mar 2023 1 repository listed
  For accurate segmentation, we also proposed a CT intensity integrated regularization loss.
• R2Former: Unified Retrieval and Reranking Transformer for Place Recognition
  1 Jan 2023 1 repository listed
  Visual Place Recognition (VPR) estimates the location of query images by matching them with images in a reference database.
• Adaptive Assignment for Geometry Aware Local Feature Matching
  18 Jul 2022 1 repository listed
  The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance.
• Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
  15 Jun 2022 1 repository listed
  In this paper, we propose a new perspective to look at the performance degradation of deep GNNs, i.
• Interpretability Guarantees with Merlin-Arthur Classifiers
  1 Jun 2022 1 repository listed
  We propose an interactive multi-agent classifier that provides provable interpretability guarantees even for complex agents such as neural networks.

Syntology lines on 5 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.