SOTAVerified

Object Detection

Papers

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Showing 7651–7700 of 10957 papers

TitleStatusHype
Deformable Part-based Fully Convolutional Network for Object Detection—0
Language-Assisted 3D Scene Understanding—0
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images—0
Deformable One-Dimensional Object Detection for Routing and Manipulation—0
LangNav: Language as a Perceptual Representation for Navigation—0
Quantization for Rapid Deployment of Deep Neural Networks—0
Quantization Mimic: Towards Very Tiny CNN for Object Detection—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
Deformable Filter Convolution for Point Cloud Reasoning—0
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency—0
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects—0
ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations—0
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO—0
LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement—0
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection—0
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty—0
Deformable Capsules for Object Detection—0
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation—0
Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing—0
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models—0
DefMamba: Deformable Visual State Space Model—0
Label-Efficient 3D Object Detection For Road-Side Units—0
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection—0
Background Mixup Data Augmentation for Hand and Object-in-Contact Detection—0
Defending Multimodal Fusion Models against Single-Source Adversaries—0
Quickest Moving Object Detection—0
Q-YOLO: Efficient Inference for Real-time Object Detection—0
Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception—0
Label Assignment Distillation for Object Detection—0
R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model—0
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis—0
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images—0
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data—0
RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion—0
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame—0
Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey—0
l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion—0
Defect Detection in Photolithographic Patterns Using Deep Learning Models Trained on Synthetic Data—0
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Backdoor Attacks against Image-to-Image Networks—0
KTAN: Knowledge Transfer Adversarial Network—0
Defect Detection from UAV Images based on Region-Based CNNs—0
Defect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework—0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data—0
Deep Watershed Detector for Music Object Recognition—0
Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks—0
AMRNet: Chips Augmentation in Aerial Images Object Detection—0
AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One—0
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—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