SOTAVerified

Object Detection

Papers

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Showing 8251–8300 of 10957 papers

TitleStatusHype
CrowdSim2: an Open Synthetic Benchmark for Object Detectors—0
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images—0
C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks—0
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation—0
CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection—0
CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network—0
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks—0
Deep Learning Methods and Applications for Region of Interest Detection in Dermoscopic Images—0
CST: Calibration Side-Tuning for Parameter and Memory Efficient Transfer Learning—0
OmniLabel: A Challenging Benchmark for Language-Based Object Detection—0
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection—0
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis—0
OmniTrack: Real-time detection and tracking of objects, text and logos in video—0
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
CueCAn: Cue Driven Contextual Attention For Identifying Missing Traffic Signs on Unconstrained Roads—0
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Curiosity-driven 3D Object Detection Without Labels—0
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection—0
Curriculum Learning with Diversity for Supervised Computer Vision Tasks—0
Curriculum Self-Paced Learning for Cross-Domain Object Detection—0
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids—0
Custom Object Detection via Multi-Camera Self-Supervised Learning—0
A Density-Aware PointRCNN for 3D Object Detection in Point Clouds—0
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection—0
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation—0
Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Models—0
CVFNet: Real-time 3D Object Detection by Learning Cross View Features—0
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception—0
Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR—0
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform—0
Cy: Chaotic yolo for user intended image encryption and sharing in social media—0
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View—0
On-Device Language Identification of Text in Images using Diacritic Characters—0
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting—0
OneAdapt: Fast Configuration Adaptation for Video Analytics Applications via Backpropagation—0
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation—0
One-Click Annotation with Guided Hierarchical Object Detection—0
One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression—0
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation—0
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers—0
On Efficient Real-Time Semantic Segmentation: A Survey—0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection—0
Introducing Depth into Transformer-based 3D Object Detection—0
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception—0
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection—0
DAC-SDC Low Power Object Detection Challenge for UAV Applications—0
DA-DETR: Domain Adaptive Detection Transformer with Information Fusion—0
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation—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