Object Counting

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

10 leaderboard tables shown for this task, 10 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

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

Subtasks archive 2025-07-28

4 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 81 papers with code (158 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.

• YOLO9000: Better, Faster, Stronger
  25 Dec 2016 231 repositories listed Syntology ran 16 of 60 samples · 44 unverified · 22 pointer-only (licence)
  On the 156 classes not in COCO, YOLO9000 gets 16.
• You Only Look Once: Unified, Real-Time Object Detection
  8 Jun 2015 144 repositories listed Syntology ran 80 of 148 samples · 68 unverified · 98 pointer-only (licence)
  A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation.
• Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
  19 Jan 2023 7 repositories listed Syntology ran 5 of 14 samples · 9 unverified · 13 pointer-only (licence)
  This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations.
• Synbols: Probing Learning Algorithms with Synthetic Datasets
  14 Sep 2020 4 repositories listed
  Progress in the field of machine learning has been fueled by the introduction of benchmark datasets pushing the limits of existing algorithms.
• VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning
  17 May 2025 3 repositories listed Syntology ran 1 of 15 samples · 14 unverified
  Large vision-language models exhibit inherent capabilities to handle diverse visual perception tasks.
• Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT
  14 Jul 2021 3 repositories listed
  In terms of accuracy, YOLOv4-CSP was observed as the optimal model, with an AP@0.
• CNN-based Density Estimation and Crowd Counting: A Survey
  28 Mar 2020 3 repositories listed
  Through our analysis, we expect to make reasonable inference and prediction for the future development of crowd counting, and meanwhile, it can also provide feasible solutions for the problem of object counting in other…
• From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
  7 Jan 2020 3 repositories listed
  Visual counting, a task that aims to estimate the number of objects from an image/video, is an open-set problem by nature, i.
• Where are the Blobs: Counting by Localization with Point Supervision
  25 Jul 2018 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  However, we propose a detection-based method that does not need to estimate the size and shape of the objects and that outperforms regression-based methods.
• Vision Transformers for Weakly-Supervised Microorganism Enumeration
  3 Dec 2024 2 repositories listed
  This comparative study contributes to the field of microbial image analysis by presenting innovative approaches to the recurring challenge of microorganism enumeration and by highlighting the capabilities of ViTs in the…
• CountGD: Multi-Modal Open-World Counting
  5 Jul 2024 2 repositories listed Syntology ran 4 of 9 samples · 5 unverified
  The goal of this paper is to improve the generality and accuracy of open-vocabulary object counting in images.
• Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
  20 May 2022 2 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  Specifically, we demonstrate that regression from vision transformer features without point-level supervision or reference images is superior to other reference-less methods and is competitive with methods that use…
• DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
  8 Feb 2022 2 repositories listed Syntology ran 7 of 10 samples · 3 unverified
  In this work, we investigate the visual reasoning capabilities and social biases of different text-to-image models, covering both multimodal transformer language models and diffusion models.
• Unsupervised Domain Adaptation For Plant Organ Counting
  2 Sep 2020 2 repositories listed
  Supervised learning is often used to count objects in images, but for counting small, densely located objects, the required image annotations are burdensome to collect.
• Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
  12 Mar 2020 2 repositories listed
  Inspired by SFANet, the first model, which is named M-SFANet, is attached with atrous spatial pyramid pooling (ASPP) and context-aware module (CAN).
• Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
  5 Mar 2020 2 repositories listed
  To address this dilemma, we further propose an uncertainty-aware cross-modality vehicle detection (UA-CMDet) framework to extract complementary information from cross-modal images, which can significantly improve the…
• Object Counting and Instance Segmentation with Image-level Supervision
  6 Mar 2019 2 repositories listed
  Moreover, our approach improves state-of-the-art image-level supervised instance segmentation with a relative gain of 17.
• Improving Object Counting with Heatmap Regulation
  14 Mar 2018 2 repositories listed
  Adding HR to a simple VGG front-end improves performance on all these benchmarks compared to a simple one-look baseline model and results in state-of-the-art performance for car counting.
• Towards perspective-free object counting with deep learning
  1 Jan 2016 2 repositories listed
  Essentially, the CCNN is formulated as a regression model where the network learns how to map the appearance of the image patches to their corresponding object density maps.
• Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
  11 Jul 2025 1 repository listed
  In this paper, we investigate the applicability of the CLIP-EBC framework, originally designed for crowd counting, to car object counting using the CARPK dataset.
• Improving Contrastive Learning for Referring Expression Counting
  28 May 2025 1 repository listed
  To support our approach, we analyze the key components of sota detection-based models and identify that detecting object centroids instead of bounding boxes is the key common factor behind their success in counting…
• InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition
  21 May 2025 1 repository listed
  We believe the contributions of the proposed tasks, benchmark, and effective approach will advance future research in developing versatile object recognition systems.
• SAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting
  10 Feb 2025 1 repository listed
  Zero-shot counting is a subcategory of Generic Visual Object Counting, which aims to count objects from an arbitrary class in a given image.
• T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
  1 Jan 2025 1 repository listed
  To address this challenge, we propose a Hierarchical Semantic Correction Module that progressively refines text-image feature alignment, and a Representational Regional Coherence Loss that provides reliable supervision…
• GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks
  28 Nov 2024 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  To address this gap in the geospatial domain, we present GEOBench-VLM, a comprehensive benchmark specifically designed to evaluate VLMs on geospatial tasks, including scene understanding, object counting, localization,…
• A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
  27 Sep 2024 1 repository listed
  In addition, a novel counting loss is proposed, that directly optimizes the detection task and avoids the issues of the standard surrogate loss.
• Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
  24 Sep 2024 1 repository listed
  Specifically, we argue that the current evaluation protocols do not measure the ability of the model to understand which object has to be counted.
• Dense Center-Direction Regression for Object Counting and Localization with Point Supervision
  26 Aug 2024 1 repository listed
  However, learning based on point annotations poses challenges due to the high imbalance between the sets of annotated and unannotated pixels, which is often treated with Gaussian smoothing of point annotations and focal…
• Zero-shot Object Counting with Good Exemplars
  6 Jul 2024 1 repository listed
  Zero-shot object counting (ZOC) aims to enumerate objects in images using only the names of object classes during testing, without the need for manual annotations.
• RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
  11 Jun 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified
  The unprecedented advancements in Multimodal Large Language Models (MLLMs) have demonstrated strong potential in interacting with humans through both language and visual inputs to perform downstream tasks such as visual…

Syntology lines on 10 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.