SOTAVerified

Object Detection

Papers

Showing 1047610500 of 10957 papers

TitleStatusHype
Geometric deep learning on graphs and manifolds using mixture model CNNsCode0
Computer Vision and Normalizing Flow-Based Defect DetectionCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Efficient Transformer Encoders for Mask2Former-style modelsCode0
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object DetectionCode0
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance DetectionCode0
IterDet: Iterative Scheme for Object Detection in Crowded EnvironmentsCode0
Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop ObjectsCode0
Adapting Object Detectors via Selective Cross-Domain AlignmentCode0
RepMet: Representative-based metric learning for classification and one-shot object detectionCode0
BioGAN: An unpaired GAN-based image to image translation model for microbiological imagesCode0
A Separable Self-attention Inspired by the State Space Model for Computer VisionCode0
LSDA: Large Scale Detection Through AdaptationCode0
EF-Net: A novel enhancement and fusion network for RGB-D saliency detectionCode0
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction EnvironmentsCode0
EGNet: Edge Guidance Network for Salient Object DetectionCode0
EGNet:Edge Guidance Network for Salient Object DetectionCode0
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
Calibrated Teacher for Sparsely Annotated Object DetectionCode0
LSTD: A Low-Shot Transfer Detector for Object DetectionCode0
Anatomy-Driven Pathology Detection on Chest X-raysCode0
Rethinking Classification and Localization for Object DetectionCode0
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via TransformersCode0
Rethinking Cooking State Recognition with Vision TransformersCode0
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance DetectionCode0
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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