SOTAVerified

Object Detection

Papers

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Showing 7501–7525 of 10957 papers

TitleStatusHype
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks—0
Rethinking the Misalignment Problem in Dense Object DetectionCode0
Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling—0
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection—0
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic SegmentationCode0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference—0
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement—0
Localization Uncertainty-Based Attention for Object Detection—0
Detecting Small Objects in Thermal Images Using Single-Shot Detector—0
Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection—0
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey—0
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter—0
Improving Object Detection and Attribute Recognition by Feature Entanglement Reduction—0
GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection—0
Small Object Detection Based on Modified FSSD and Model Compression—0
Reconcile Prediction Consistency for Balanced Object Detection—0
Pseudo-Label Generation-Evaluation Framework For Cross Domain Weakly Supervised Object Detection—0
Deep neural networks approach to microbial colony detection -- a comparative analysis—0
Image coding for machines: an end-to-end learned approach—0
Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training—0
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function—0
Region-level Active Detector Learning—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