SOTAVerified

Object Detection

Papers

Showing 27262750 of 10957 papers

TitleStatusHype
EA-KD: Entropy-based Adaptive Knowledge Distillation0
T-Rex: Counting by Visual Prompting0
P2RBox: Point Prompt Oriented Object Detection with SAM0
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs0
Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis0
Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial PatchesCode0
Innovative Horizons in Aerial Imagery: LSKNet Meets DiffusionDet for Advanced Object DetectionCode0
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack DetectionCode0
AR Visualization System for Ship Detection and Recognition Based on AI0
Cascade Learning Localises Discriminant Features in Visual Scene Classification0
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial ImagesCode0
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object DetectionCode0
Stable Diffusion For Aerial Object Detection0
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches0
DAS: A Deformable Attention to Capture Salient Information in CNNs0
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
Evaluating Supervision Levels Trade-Offs for Infrared-Based People CountingCode0
On the Importance of Large Objects in CNN Based Object Detection Algorithms0
Decoupled DETR For Few-shot Object Detection0
LDConv: Linear deformable convolution for improving convolutional neural networksCode1
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles0
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object DetectionCode1
Enhancing Novel Object Detection via Cooperative Foundational ModelsCode1
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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