SOTAVerified

Object Detection

Papers

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Showing 8651–8700 of 10957 papers

TitleStatusHype
Random Ferns for Semantic Segmentation of PolSAR Images—0
Randomized 3D Scene Generation for Generalizable Self-Supervised Pre-Training—0
Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection—0
Masked Siamese ConvNets—0
Randomized Max-Margin Compositions for Visual Recognition—0
Mask Frozen-DETR: High Quality Instance Segmentation with One GPU—0
Mask Hierarchical Features For Self-Supervised Learning—0
Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects—0
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection—0
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features—0
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving—0
Randomize to Generalize: Domain Randomization for Runway FOD Detection—0
MaskVD: Region Masking for Efficient Video Object Detection—0
Mask wearing object detection algorithm based on improved YOLOv5—0
Robust Extrinsic Symmetry Estimation in 3D Point Clouds—0
MatchDet: A Collaborative Framework for Image Matching and Object Detection—0
Range Adaptation for 3D Object Detection in LiDAR—0
R^2-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images—0
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem—0
RangeAugment: Efficient Online Augmentation with Range Learning—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection—0
Maximum Margin Multi-Label Structured Prediction—0
Maximum Margin Vector Correlation Filter—0
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors—0
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition—0
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling—0
MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection—0
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking and Vehicle Re-ID in Multi-Camera Networks—0
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features—0
MCTR: Multi Camera Tracking Transformer—0
MCUBench: A Benchmark of Tiny Object Detectors on MCUs—0
RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union—0
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning—0
mdBrief - A Fast Online Adaptable, Distorted Binary Descriptor for Real-Time Applications Using Calibrated Wide-Angle Or Fisheye Cameras—0
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection—0
MDFL: A UNIFIED FRAMEWORK WITH META-DROPOUT FOR FEW-SHOT LEARNING—0
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection—0
MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm—0
Aligning Data Selection with Performance: Performance-driven Reinforcement Learning for Active Learning in Object Detection—0
Mean Height Aided Post-Processing for Pedestrian Detection—0
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework—0
MEAOD: Model Extraction Attack against Object Detectors—0
Robust infrared small target detection using self-supervised and a contrario paradigms—0
Measuring the Accuracy of Object Detectors and Trackers—0
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
RankDetNet: Delving Into Ranking Constraints for Object Detection—0
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection—0
Robust Scene Inference under Noise-Blur Dual Corruptions—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