SOTAVerified

Object Detection

Papers

Showing 1082610850 of 10957 papers

TitleStatusHype
Semantically Grounded Object Matching for Robust Robotic Scene RearrangementCode0
Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object DetectionCode0
Sit Back and Relax: Learning to Drive Incrementally in All Weather ConditionsCode0
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and ComputationCode0
Beneath the Surface: The Role of Underwater Image Enhancement in Object DetectionCode0
Single-stage uav detection and classification with yolov5: Mosaic data augmentation and panetCode0
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision BoundaryCode0
Single-Shot Refinement Neural Network for Object DetectionCode0
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance SegmentationCode0
Semantic3D.net: A new Large-scale Point Cloud Classification BenchmarkCode0
Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving ScenariosCode0
Self-Supervised Object Detection via Generative Image SynthesisCode0
UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionCode0
ScAR: Scaling Adversarial Robustness for LiDAR Object DetectionCode0
ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical FusionCode0
RRPN: Radar Region Proposal Network for Object Detection in Autonomous VehiclesCode0
Scaling Open-Vocabulary Object DetectionCode0
Preferences Prediction using a Gallery of Mobile Device based on Scene Recognition and Object DetectionCode0
Use the Detection Transformer as a Data AugmenterCode0
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object DetectionCode0
Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use CaseCode0
WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model EvaluationCode0
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection ProblemsCode0
Synthetic Data for Text Localisation in Natural ImagesCode0
Using Filter Banks in Convolutional Neural Networks for Texture ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66Unverified
2InternImage-H (M3I Pre-training)box mAP65.5Unverified
3M3I Pre-training (InternImage-H)box mAP65.4Unverified
4MoCaEbox mAP65.1Unverified
5Co-DETR (Swin-L)box mAP64.8Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8Unverified
7EVAbox mAP64.7Unverified
8Group DETR v2box mAP64.5Unverified
9FocalNet-H (DINO)box mAP64.4Unverified
10InternImage-XLbox mAP64.3Unverified