SOTAVerified

Object Detection

Papers

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Showing 2701–2750 of 10957 papers

TitleStatusHype
Large Model Based Referring Camouflaged Object Detection—0
DyRA: Portable Dynamic Resolution Adjustment Network for Existing DetectorsCode0
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic SegmentationCode0
Unified-modal Salient Object Detection via Adaptive Prompt LearningCode1
Cross-level Attention with Overlapped Windows for Camouflaged Object Detection—0
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI—0
Small and Dim Target Detection in IR Imagery: A Review—0
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection—0
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image RecognitionCode3
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework—0
Advancing Vision Transformers with Group-Mix AttentionCode1
An Intelligent-Detection Network for Handwritten Mathematical Expression Recognition—0
GAN-Based LiDAR Intensity Simulation—0
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss—0
Adapter is All You Need for Tuning Visual TasksCode2
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt LearningCode1
SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime ConditionsCode0
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural NetworksCode1
Multi-modal Instance Refinement for Cross-domain Action Recognition—0
PointOBB: Learning Oriented Object Detection via Single Point SupervisionCode1
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point SupervisionCode1
All in One: RGB, RGB-D, and RGB-T Salient Object Detection—0
Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder—0
Periodically Exchange Teacher-Student for Source-Free Object DetectionCode1
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence—0
EA-KD: Entropy-based Adaptive Knowledge Distillation—0
T-Rex: Counting by Visual Prompting—0
P2RBox: Point Prompt Oriented Object Detection with SAM—0
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration—0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory—0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs—0
Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis—0
Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial PatchesCode0
Innovative Horizons in Aerial Imagery: LSKNet Meets DiffusionDet for Advanced Object DetectionCode0
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack DetectionCode0
AR Visualization System for Ship Detection and Recognition Based on AI—0
Cascade Learning Localises Discriminant Features in Visual Scene Classification—0
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial ImagesCode0
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object DetectionCode0
Stable Diffusion For Aerial Object Detection—0
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches—0
DAS: A Deformable Attention to Capture Salient Information in CNNs—0
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
Evaluating Supervision Levels Trade-Offs for Infrared-Based People CountingCode0
On the Importance of Large Objects in CNN Based Object Detection Algorithms—0
Decoupled DETR For Few-shot Object Detection—0
LDConv: Linear deformable convolution for improving convolutional neural networksCode1
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles—0
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object DetectionCode1
Enhancing Novel Object Detection via Cooperative Foundational ModelsCode1
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All datasetsCOCO test-devCOCO minivalCOCO-OCOCO 2017 valPASCAL VOC 2007COCO 2017CrowdHuman (full body)CPPE-5LVIS v1.0 valManga109-s 15testPKU-DDD17-CarWaymo 2D detection all_ns f0val

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66—Unverified
2InternImage-H (M3I Pre-training)box mAP65.5—Unverified
3M3I Pre-training (InternImage-H)box mAP65.4—Unverified
4MoCaEbox mAP65.1—Unverified
5Co-DETR (Swin-L)box mAP64.8—Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8—Unverified
7EVAbox mAP64.7—Unverified
8Group DETR v2box mAP64.5—Unverified
9FocalNet-H (DINO)box mAP64.4—Unverified
10InternImage-XLbox mAP64.3—Unverified