Dense Object Detection

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (32 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.

• Focal Loss for Dense Object Detection
  7 Aug 2017 234 repositories listed Syntology ran 11 of 11 samples · 0 unverified · 6 pointer-only (licence)
  Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.
• PP-YOLOE: An evolved version of YOLO
  30 Mar 2022 8 repositories listed Syntology ran 5 of 27 samples · 22 unverified
  In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment.
• Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
  8 Jun 2020 7 repositories listed Syntology ran 1 of 24 samples · 23 unverified
  Specifically, we merge the quality estimation into the class prediction vector to form a joint representation of localization quality and classification, and use a vector to represent arbitrary distribution of box…
• Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
  25 Nov 2020 5 repositories listed
  Such a property makes the distribution statistics of a bounding box highly correlated to its real localization quality.
• Precise Detection in Densely Packed Scenes
  1 Apr 2019 5 repositories listed
  We propose a novel, deep-learning based method for precise object detection, designed for such challenging settings.
• Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
  24 Mar 2024 3 repositories listed Syntology ran 11 of 23 samples · 12 unverified
  DETR-like methods have significantly increased detection performance in an end-to-end manner.
• Localization Distillation for Dense Object Detection
  24 Feb 2021 2 repositories listed
  Previous KD methods for object detection mostly focus on imitating deep features within the imitation regions instead of mimicking classification logit due to its inefficiency in distilling localization information and…
• A Solution to Product detection in Densely Packed Scenes
  23 Jul 2020 2 repositories listed
  To grasp the essential feature of the densely packed scenes, we analysis the stages of a detector and investigate the bottleneck which limits the performance.
• BorderDet: Border Feature for Dense Object Detection
  21 Jul 2020 2 repositories listed
  In this paper, We propose a simple and efficient operator called Border-Align to extract "border features" from the extreme point of the border to enhance the point feature.
• AutoAssign: Differentiable Label Assignment for Dense Object Detection
  7 Jul 2020 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  During training, to both satisfy the prior distribution of data and adapt to category characteristics, we present Center Weighting to adjust the category-specific prior distributions.
• Soft Anchor-Point Object Detection
  27 Nov 2019 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  In this work, we boost the performance of the anchor-point detector over the key-point counterparts while maintaining the speed advantage.
• Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data Volume
  28 Mar 2024 1 repository listed
  Existing pseudo label generation methods for point weakly supervised object detection are inadequate in low data volume and dense object detection tasks.
• Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
  28 Aug 2023 1 repository listed
  Thus, the optimum of the distillation loss does not necessarily lead to the optimal student classification scores for dense object detectors.
• CrossKD: Cross-Head Knowledge Distillation for Object Detection
  20 Jun 2023 1 repository listed
  Moreover, as mimicking the teacher's predictions is the target of KD, CrossKD offers more task-oriented information in contrast with feature imitation.
• Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
  27 Mar 2023 1 repository listed
  It employs a "divide-and-conquer" strategy and separately exploits positives for the classification and localization task, which is more robust to the assignment ambiguity.
• Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection
  25 Jul 2022 1 repository listed
  However, a deep understanding of how AP loss affects the detector from a pairwise ranking perspective has not yet been developed.
• Prediction-Guided Distillation for Dense Object Detection
  10 Mar 2022 1 repository listed
  Based on this, we propose Prediction-Guided Distillation (PGD), which focuses distillation on these key predictive regions of the teacher and yields considerable gains in performance over many existing KD baselines.
• Rethinking the Misalignment Problem in Dense Object Detection
  27 Aug 2021 1 repository listed
  On the basis of SALT and SDR loss, we propose SALT-Net, which explicitly exploits task-aligned point-set features for accurate detection results.
• SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
  25 Jun 2021 1 repository listed
  The embedding layer is added into the region proposal networks, enabling the networks to learn discriminative features based on similarity learning.
• Robust and Efficient Post-Processing for Video Object Detection (REPP)
  1 Oct 2020 1 repository listed
  Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks.
• Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection
  19 Dec 2019 1 repository listed
  We train a standard object detector on a small, normally packed dataset with data augmentation techniques.
• Mixture Dense Regression for Object Detection and Human Pose Estimation
  2 Dec 2019 1 repository listed
  We realize the framework for object detection and human pose estimation.

Syntology lines on 6 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.