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Object Detection

Papers

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Showing 4901–4950 of 10957 papers

TitleStatusHype
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure DetectionCode0
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector—0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
MSU-4S - The Michigan State University Four Seasons Dataset—0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness—0
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models—0
Neural Exposure Fusion for High-Dynamic Range Object Detection—0
Multi-agent Collaborative Perception via Motion-aware Robust Communication Network—0
AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One—0
Active Domain Adaptation with False Negative Prediction for Object Detection—0
On Scaling Up a Multilingual Vision and Language Model—0
Relational Matching for Weakly Semi-Supervised Oriented Object Detection—0
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection—0
Credible Teacher for Semi-Supervised Object Detection in Open Scene—0
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
Horizontal Federated Computer Vision—0
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion—0
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection—0
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World—0
Generating Enhanced Negatives for Training Language-Based Object DetectorsCode0
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications—0
EvPlug: Learn a Plug-and-Play Module for Event and Image Fusion—0
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation—0
DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query—0
Multi-scale direction-aware SAR object detection network via global information fusion—0
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection—0
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction EnvironmentsCode0
VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection—0
DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm UnderstandingCode0
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds—0
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery—0
Pre-trained Trojan Attacks for Visual Recognition—0
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Revisiting Few-Shot Object Detection with Vision-Language ModelsCode0
MEAOD: Model Extraction Attack against Object Detectors—0
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection—0
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection—0
Context Enhanced Transformer for Single Image Object Detection—0
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
Low-power event-based face detection with asynchronous neuromorphic hardware—0
Domain Similarity-Perceived Label Assignment for Domain Generalized Underwater Object Detection—0
Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms—0
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis—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