SOTAVerified

Object Detection

Papers

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Showing 4751–4775 of 10957 papers

TitleStatusHype
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V—0
Introduction to Camera Pose Estimation with Deep Learning—0
Perceptual underwater image enhancement with deep learning and physical priors—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
A Nasal Cytology Dataset for Object Detection and Deep Learning—0
Detection of Underwater Multi-Targets Based on Self-Supervised Learning and Deformable Path Aggregation Feature Pyramid Network—0
Detection of Thermal Events by Semi-Supervised Learning for Tokamak First Wall Safety—0
A Benchmark Dataset and Saliency-guided Stacked Autoencoders for Video-based Salient Object Detection—0
Detection of Rail Line Track and Human Beings Near the Track to Avoid Accidents—0
Detection of Partially Visible Objects—0
Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset—0
Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA—0
Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection—0
Interpreting Hand gestures using Object Detection and Digits Classification—0
An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection—0
MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos—0
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection—0
Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN—0
Interpretable End-to-End Driving Model for Implicit Scene Understanding—0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery—0
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds—0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning—0
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo—0
An application of a deep learning algorithm for automatic detection of unexpected accidents under bad CCTV monitoring conditions in tunnels—0
Interpreting Context of Images using Scene Graphs—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