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Object Detection

Papers

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Showing 9951–10000 of 10957 papers

TitleStatusHype
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge DevicesCode0
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention ConvergenceCode0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
Rethinking the Misalignment Problem in Dense Object DetectionCode0
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditionsCode0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
DEYOv3: DETR with YOLO for Real-time Object DetectionCode0
DFA3D: 3D Deformable Attention For 2D-to-3D Feature LiftingCode0
Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object DetectionCode0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
Recurrent Scale Approximation for Object Detection in CNNCode0
Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial PatchesCode0
COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery DetectionCode0
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object DetectionCode0
Image Captioning with Deep Bidirectional LSTMsCode0
R-FCN: Object Detection via Region-based Fully Convolutional NetworksCode0
Generating Positive Bounding Boxes for Balanced Training of Object DetectorsCode0
Recurrent Soft Attention Model for Common Object RecognitionCode0
MixMask: Revisiting Masking Strategy for Siamese ConvNetsCode0
Diagnosing Errors in Video Relation DetectorsCode0
Attention Guided Network for Salient Object Detection in Optical Remote Sensing ImagesCode0
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait IdentificationCode0
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice LossCode0
Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private SourcesCode0
DiCENet: Dimension-wise Convolutions for Efficient NetworksCode0
CoupleNet: Coupling Global Structure with Local Parts for Object DetectionCode0
Deep Template-based Object Instance DetectionCode0
Did you hear that? Adversarial Examples Against Automatic Speech RecognitionCode0
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-raysCode0
Learning to Minimize the Remainder in Supervised LearningCode0
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance SegmentationCode0
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale BoosterCode0
A positive feedback method based on F-measure value for Salient Object DetectionCode0
Attentive Feedback Network for Boundary-Aware Salient Object DetectionCode0
Predicting Class Distribution Shift for Reliable Domain Adaptive Object DetectionCode0
Mixture Dense Regression for Object Detection and Human Pose EstimationCode0
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input ImageCode0
FFAM: Feature Factorization Activation Map for Explanation of 3D DetectorsCode0
Learning to Segment Object CandidatesCode0
Attentive NormalizationCode0
Person Re-identification in Aerial ImageryCode0
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X OrchestrationCode0
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
Learning to Separate: Detecting Heavily-Occluded Objects in Urban ScenesCode0
Benchmarking Image Perturbations for Testing Automated Driving Assistance SystemsCode0
Copy-Move Detection in Optical Microscopy: A Segmentation Network and A DatasetCode0
Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor regionCode0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive PatchesCode0
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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