SOTAVerified

Object Detection

Papers

Showing 997610000 of 10957 papers

TitleStatusHype
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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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