SOTAVerified

Object Detection

Papers

Showing 12261250 of 10957 papers

TitleStatusHype
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box RegressionCode1
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object DetectorsCode1
DenoiseRep: Denoising Model for Representation LearningCode1
On the Connection between Local Attention and Dynamic Depth-wise ConvolutionCode1
Active Learning for Deep Object Detection via Probabilistic ModelingCode1
Self-supervised Learning from a Multi-view PerspectiveCode1
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing ImagesCode1
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile RobotCode1
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and CountingCode1
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object UnderstandingCode1
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object DetectionCode1
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object DetectionCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
Dense RepPoints: Representing Visual Objects with Dense Point SetsCode1
A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual ModelsCode1
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal FusionCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified BenchmarkCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation NetworkCode1
Deformable PV-RCNN: Improving 3D Object Detection with Learned DeformationsCode1
DEFT: Detection Embeddings for TrackingCode1
Learning Loss for Active LearningCode1
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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