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Object Detection

Papers

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Showing 7951–7975 of 10957 papers

TitleStatusHype
Data Collection and Utilization Framework for Edge AI Applications—0
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks—0
MapFusion: A General Framework for 3D Object Detection with HDMaps—0
Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural NetworkCode0
Offboard 3D Object Detection from Point Cloud Sequences—0
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors—0
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages—0
Optimized Object Tracking Technique Using Kalman Filter—0
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection—0
End-to-end optimized image compression for multiple machine tasks—0
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection—0
Point Cloud based Hierarchical Deep Odometry Estimation—0
Multi-Scale Feature Pyramid Network: A Heavily Occluded Pedestrian Detection Network Based on ResNet—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection—0
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving—0
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
Pseudo-labeling for Scalable 3D Object Detection—0
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection—0
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge—0
Achieving Competitive Play Through Bottom-Up Approach in Semantic Segmentation—0
Accelerating Large Kernel Convolutions with Nested Winograd Transformation.pdf—0
Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning ApproachCode0
GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object Detection—0
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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