mlsanityData to 14 Oct 2026

A Strong and Reproducible Object Detector with Only Public Datasets

arXiv 2304.13027 ↗First posted 25 Apr 2023cs.CVcited by 8

Not on the map. Why?

Abstract (arXiv)

This work presents Focal-Stable-DINO, a strong and reproducible object detection model which achieves 64.6 AP on COCO val2017 and 64.8 AP on COCO test-dev using only 700M parameters without any test time augmentation. It explores the combination of the powerful FocalNet-Huge backbone with the effective Stable-DINO detector. Different from existing SOTA models that utilize an extensive number of parameters and complex training techniques on large-scale private data or merged data, our model is exclusively trained on the publicly available dataset Objects365, which ensures the reproducibility of our approach.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 26 of its 30 references that are in the map. First posted on arXiv 25 Apr 2023.

Builds on

26 of 30 references.

References · 26

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  5. 2021Masked Autoencoders Are Scalable Vision Learnerscited by 7,403
  6. 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,319
  7. 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,228
  8. 2021Scaling Vision Transformerscited by 999
  9. 2021Florence: A New Foundation Model for Computer Visioncited by 804
  10. 2022EVA: Exploring the Limits of Masked Visual Representation Learning at Scalecited by 691
  11. 2022DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETRcited by 573
  12. 2022Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Taskscited by 511
14 more
  1. 2022DN-DETR: Accelerate DETR Training by Introducing Query DeNoisingcited by 488
  2. 2022InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutionscited by 482
  3. 2019Hybrid Task Cascade for Instance Segmentationcited by 481
  4. 2023EVA-02: A Visual Representation for Neon Genesiscited by 381
  5. 2021End-to-End Semi-Supervised Object Detection with Soft Teachercited by 316
  6. 2022DETRs with Collaborative Hybrid Assignments Trainingcited by 274
  7. 2022Unified Contrastive Learning in Image-Text-Label Spacecited by 194
  8. 2022Focal Modulation Networkscited by 186
  9. 2021Fast Convergence of DETR with Spatially Modulated Co-Attentioncited by 176
  10. 2022Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillationcited by 93
  11. 2023Detection Transformer with Stable Matchingcited by 44
  12. 2023You Only Segment Once: Towards Real-Time Panoptic Segmentationcited by 40
  13. 2022Group DETR v2: Strong Object Detector with Encoder-Decoder Pretrainingcited by 25
  14. 2022Seeing a Rose in Five Thousand Wayscited by 13

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 3; 2025: 2; 2026: 1.

8 papers.

  1. 2024Grounded SAM: Assembling Open-World Models for Diverse Visual Taskscited by 929
  2. 2024TAPTR: Tracking Any Point with Transformers as Detectioncited by 45
  3. 2023Pseudo-label Alignment for Semi-supervised Instance Segmentationcited by 17
  4. 2023detrex: Benchmarking Detection Transformerscited by 8
  5. 2024LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Imagecited by 1
  6. 2025DoorDet: Semi-Automated Multi-Class Door Detection Dataset via Object Detection and Large Language Modelscited by 1
  7. 2025Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Paintingcited by 0
  8. 2026Enhancing Open-Vocabulary Object Detection through Multi-Level Fine-Grained Visual-Language Alignmentcited by 0