SOTAVerified

Object Detection

Papers

Showing 99519975 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
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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