SOTAVerified

Object Counting

The goal of Object Counting task is to count the number of object instances in a single image or video sequence. It has many real-world applications such as traffic flow monitoring, crowdedness estimation, and product counting.

Source: Learning to Count Objects with Few Exemplar Annotations

Papers

Showing 101150 of 158 papers

TitleStatusHype
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications0
Shifted Autoencoders for Point Annotation Restoration in Object Counting0
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models0
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts0
T-Rex: Counting by Visual Prompting0
Zero-Shot Object Counting with Language-Vision Models0
Interactive Class-Agnostic Object Counting0
Segmentação e contagem de troncos de madeira utilizando deep learning e processamento de imagens0
Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map0
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting0
Object counting from aerial remote sensing images: application to wildlife and marine mammals0
Density Map Distillation for Incremental Object Counting0
Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Review0
A Unified Object Counting Network with Object Occupation PriorCode0
Fast-moving object counting with an event camera0
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection0
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images0
Improved Counting and Localization from Density Maps for Object Detection in 2D and 3D Microscopy Imaging0
Domain Randomization for Object CountingCode0
Object Counting: You Only Need to Look at One0
Single Image Object Counting and Localizing using Active-Learning0
Learning-to-Count by Learning-to-Rank: Weakly Supervised Object Counting & Localization Using Only Pairwise Image Rankings0
TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection0
Counting and Locating High-Density Objects Using Convolutional Neural Network0
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images0
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting0
Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery0
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images0
A Few-Shot Sequential Approach for Object Counting0
Low-Power Object Counting with Hierarchical Neural Networks0
Reverse Perspective Network for Perspective-Aware Object Counting0
MoVie: Revisiting Modulated Convolutions for Visual Counting and BeyondCode0
RSVQA: Visual Question Answering for Remote Sensing Data0
Counting dense objects in remote sensing images0
Towards Partial Supervision for Generic Object Counting in Natural ScenesCode0
0-1 phase transitions in sparse spiked matrix estimation0
Learning to Count Objects with Few Exemplar Annotations0
SIMCO: SIMilarity-based object COunting0
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks0
Object Counting and Instance Segmentation with Image-level SupervisionCode0
Class-Agnostic CountingCode0
TallyQA: Answering Complex Counting QuestionsCode0
Counting the uncountable: deep semantic density estimation from Space0
Dynamic Conditional Networks for Few-Shot Learning0
Where are the Blobs: Counting by Localization with Point SupervisionCode0
A Statistical Method for Object Counting0
Contextual Hourglass Networks for Segmentation and Density Estimation0
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images0
Learning Short-Cut Connections for Object Counting0
A-CCNN: adaptive ccnn for density estimation and crowd counting0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FamNetMAE(test)22.08Unverified
2Omnicount (Open vocabulary, multi-label, without training)MAE(test)18.63Unverified
3RCCMAE(test)17.12Unverified
4Counting-DETRMAE(test)16.79Unverified
5CounTX (uses text descriptions instead of visual exemplars)MAE(test)15.88Unverified
6LaoNetMAE(test)15.78Unverified
7BMNet+MAE(test)14.62Unverified
8SAFECountMAE(test)14.32Unverified
9GCA-SUNMAE(test)14Unverified
10SPDCNMAE(test)13.51Unverified
#ModelMetricClaimedVerifiedStatus
1YOLO (2016)MAE156Unverified
2YOLO9000opt (2017)MAE130.4Unverified
3Faster R-CNN (2015)MAE39.88Unverified
4RetinaNet (2018)MAE24.58Unverified
5LPN Counting (2017)MAE22.76Unverified
6One-Look Regression (2016)MAE21.88Unverified
7RetinaNet (2018)MAE16.62Unverified
8CounTX (uses arbitrary text input to specify object to count, used "the cars" for CARPK)MAE8.13Unverified
9Soft-IoU + EM-Merger unitMAE6.77Unverified
10VLCounterMAE6.46Unverified
#ModelMetricClaimedVerifiedStatus
1Fast-RCNNm-reIRMSE-nz0.85Unverified
2glance-noft-2Lm-reIRMSE-nz0.73Unverified
3LC-PSPNetm-reIRMSE-nz0.7Unverified
4Seq-sub-ft-3x3m-reIRMSE-nz0.68Unverified
5ensm-reIRMSE-nz0.65Unverified
6Supervised Density Mapm-reIRMSE-nz0.61Unverified
7LC-ResFCNm-reIRMSE-nz0.61Unverified
8OmnicountmRMSE0Unverified
#ModelMetricClaimedVerifiedStatus
1Aso-sub-ft-3x3m-reIRMSE0.24Unverified
2glance-ft-2Lm-reIRMSE0.23Unverified
3Fast-RCNNm-reIRMSE0.2Unverified
4LC-ResFCNm-reIRMSE0.19Unverified
5Seq-sub-ft-3x3m-reIRMSE0.18Unverified
6Supervised Density Mapm-reIRMSE0.18Unverified
7ensm-reIRMSE0.18Unverified
#ModelMetricClaimedVerifiedStatus
1SMoLA-PaLI-X SpecialistAccuracy77.1Unverified
2PaLI-X-VPDAccuracy76.6Unverified
3SMoLA-PaLI-X Generalist (0 shot)Accuracy70.7Unverified
4MoVie-ResNeXtAccuracy56.8Unverified
5RCNAccuracy56.2Unverified
6MoVieAccuracy54.1Unverified
#ModelMetricClaimedVerifiedStatus
1SMoLA-PaLI-X SpecialistAccuracy86.3Unverified
2PaLI-X-VPDAccuracy86.2Unverified
3SMoLA-PaLI-X Generalist (0 shot)Accuracy83.3Unverified
4MoVie-ResNeXtAccuracy74.9Unverified
5RCNAccuracy71.8Unverified
6MoVieAccuracy70.8Unverified
#ModelMetricClaimedVerifiedStatus
1MoVie-ResNeXtAccuracy64Unverified
2MoVieAccuracy61.2Unverified
3RCNAccuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CEOESmRMSE0.42Unverified
2ILCmRMSE0.29Unverified
3TFOCmRMSE0.01Unverified
#ModelMetricClaimedVerifiedStatus
1OmnicountmRMSE0Unverified
#ModelMetricClaimedVerifiedStatus
1GauNet (ResNet-50)MAE2.1Unverified