SOTAVerified

Object Detection

Papers

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Showing 8751–8800 of 10957 papers

TitleStatusHype
MFL-YOLO: An Object Detection Model for Damaged Traffic Signs—0
BiP-Net: Bidirectional Perspective Strategy based Arbitrary-Shaped Text Detection Network—0
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection—0
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation—0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images—0
MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images—0
microYOLO: Towards Single-Shot Object Detection on Microcontrollers—0
Middle-level Fusion for Lightweight RGB-D Salient Object Detection—0
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
Mid-level Elements for Object Detection—0
Mid-level Representation for Visual Recognition—0
RBF Weighted Hyper-Involution for RGB-D Object Detection—0
Structured Binary Neural Networks for Image Recognition—0
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection—0
Mimicking Very Efficient Network for Object Detection—0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion—0
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features—0
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds—0
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection—0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach—0
Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion—0
Minimum Barrier Salient Object Detection at 80 FPS—0
Minimum Delay Moving Object Detection—0
RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection—0
Robust Method of Vote Aggregation and Proposition Verification for Invariant Local Features—0
RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection—0
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking—0
MINSU (Mobile Inventory And Scanning Unit):Computer Vision and AI—0
R-CNN minus R—0
Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model—0
Mitigating Backdoor Attack Via Prerequisite Transformation—0
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling—0
Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection—0
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops—0
Mitigating the Impact of Prominent Position Shift in Drone-based RGBT Object Detection—0
RF-Annotate: Automatic RF-Supervised Image Annotation of Common Objects in Context—0
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator—0
MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks—0
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection—0
Mixed Supervised Object Detection with Robust Objectness Transfer—0
R(Det)^2: Randomized Decision Routing for Object Detection—0
MixMobileNet: A Mixed Mobile Network for Edge Vision Applications—0
R(Det)2: Randomized Decision Routing for Object Detection—0
RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity—0
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model—0
6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality—0
RDU: A Region-based Approach to Form-style Document Understanding—0
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar—0
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms—0
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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