SOTAVerified

Object Detection

Papers

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Showing 10601–10650 of 10957 papers

TitleStatusHype
Towards the in-situ Trunk Identification and Length Measurement of Sea Cucumbers via Bézier Curve ModellingCode0
Towards Task-Compatible Compressible RepresentationsCode0
Towards Sparsification of Graph Neural NetworksCode0
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
Investigation of UAV Detection in Images with Complex Backgrounds and Rainy ArtifactsCode0
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited MemoryCode0
Vision Calorimeter: Migrating Visual Object Detector to High-energy Particle ImagesCode0
Stacked Cross Refinement Network for Edge-Aware Salient Object DetectionCode0
Stable Remaster: Bridging the Gap Between Old Content and New DisplaysCode0
Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model SwitchingCode0
SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video EditingCode0
U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising TrainingCode0
ssFPN: Scale Sequence (S^2) Feature Based-Feature Pyramid Network for Object DetectionCode0
Towards Segmenting Anything That MovesCode0
SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease DiagnosisCode0
UEVAVD: A Dataset for Developing UAV's Eye View Active Object DetectionCode0
Weighted Intersection over Union (wIoU) for Evaluating Image SegmentationCode0
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object DetectionCode0
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic SegmentationCode0
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous DrivingCode0
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection ChallengeCode0
Salient Object Detection via Dynamic Scale RoutingCode0
Squeezed Deep 6DoF Object Detection Using Knowledge DistillationCode0
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier SynthesisCode0
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-MaskingCode0
Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris DetectionCode0
Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase OptimizationCode0
Spot the Difference by Object DetectionCode0
Towards Interpretable R-CNN by Unfolding Latent StructuresCode0
SP-NAS: Serial-to-Parallel Backbone Search for Object DetectionCode0
Towards Interpretable Object Detection by Unfolding Latent StructuresCode0
Sequence Level Semantics Aggregation for Video Object DetectionCode0
SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationCode0
Towards High-Resolution Salient Object DetectionCode0
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ?Code0
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object DetectionCode0
Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer AssistanceCode0
Uncertainty-Aware AB3DMOT by Variational 3D Object DetectionCode0
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised SegmentationCode0
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and BaselineCode0
Learning to Detect and Retrieve Objects from Unlabeled VideosCode0
Vision-RADAR fusion for Robotics BEV Detections: A SurveyCode0
Uncertainty Aware Human-machine Collaboration in Camouflaged Object DetectionCode0
Towards dense object tracking in a 2D honeybee hiveCode0
Micro-Batch Training with Batch-Channel Normalization and Weight StandardizationCode0
Seq-NMS for Video Object DetectionCode0
Speed/accuracy trade-offs for modern convolutional object detectorsCode0
Towards Compact ConvNets via Structure-Sparsity Regularized Filter PruningCode0
Towards Best Practice in Explaining Neural Network Decisions with LRPCode0
Vision Transformer-based Adversarial Domain AdaptationCode0
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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