SOTAVerified

Object Detection

Papers

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Showing 10901–10950 of 10957 papers

TitleStatusHype
Understanding the Domain Gap in LiDAR Object Detection Networks—0
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum—0
Understanding the Fisher Vector: a multimodal part model—0
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems—0
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance—0
Underwater Camouflage Object Detection Dataset—0
Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement—0
Underwater Object Classification and Detection: first results and open challenges—0
Underwater object detection in sonar imagery with detection transformer and Zero-shot neural architecture search—0
Underwater object detection using Invert Multi-Class Adaboost with deep learning—0
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages—0
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection—0
Uni3DL: Unified Model for 3D and Language Understanding—0
Geo6D: Geometric Constraints Learning for 6D Pose Estimation—0
UniBEVFusion: Unified Radar-Vision BEVFusion for 3D Object Detection—0
Unidentified Floating Object detection in maritime environment using dictionary learning—0
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation—0
UniFa: A unified feature hallucination framework for any-shot object detection—0
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework—0
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection—0
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Unified Local and Global Attention Interaction Modeling for Vision Transformers—0
Unified Open-Vocabulary Dense Visual Prediction—0
UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection—0
Towards Unified 3D Object Detection via Algorithm and Data Unification—0
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP—0
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection—0
UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection—0
UnitBox: An Advanced Object Detection Network—0
UnitModule: A Lightweight Joint Image Enhancement Module for Underwater Object Detection—0
Unity Perception: Generate Synthetic Data for Computer Vision—0
Universal Adaptive Data Augmentation—0
Universal Bounding Box Regression and Its Applications—0
Universal Domain Adaptive Object Detector—0
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN—0
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training—0
Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection—0
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation—0
Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image—0
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook—0
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark—0
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer—0
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance—0
UnSupDLA: Towards Unsupervised Document Layout Analysis—0
Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics—0
Unsupervised data augmentation for object detection—0
Unsupervised Deep Context Prediction for Background Foreground Separation—0
Unsupervised Difficulty Estimation with Action Scores—0
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training—0
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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