mlsanityData to 13 Oct 2026

TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases

arXiv 2104.09123 ↗First posted 19 Apr 2021cs.CV cs.AI cs.LGcited by 6

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Abstract (arXiv)

While common image object detection tasks focus on bounding boxes or segmentation masks as object representations, we consider the problem of finding objects based on four arbitrary vertices. We propose a novel model, named TetraPackNet, to tackle this problem. TetraPackNet is based on CornerNet and uses similar algorithms and ideas. It is designated for applications requiring high-accuracy detection of regularly shaped objects, which is the case in the logistics use-case of packaging structure recognition. We evaluate our model on our specific real-world dataset for this use-case. Baselined against a previous solution, consisting of a Mask R-CNN model and suitable post-processing steps, TetraPackNet achieves superior results (9% higher in accuracy) in the sub-task of four-corner based transport unit side detection.

Key facts. Cited by 6 papers in the map (data through 13 Oct 2026). Builds on 14 of its 17 references that are in the map. First posted on arXiv 19 Apr 2021.

Builds on

14 of 17 references.

References · 14

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,550
  2. 2017Mask R-CNNcited by 7,266
  3. 2016Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learningcited by 1,512
  4. 2019Objects as Pointscited by 1,173
  5. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
  6. 2018CornerNet: Detecting Objects as Paired Keypointscited by 763
  7. 2019CenterNet: Keypoint Triplets for Object Detectioncited by 654
  8. 2018Deep Learning for Generic Object Detection: A Surveycited by 392
  9. 2016Associative Embedding: End-to-End Learning for Joint Detection and Groupingcited by 211
  10. 2019Recent Advances in Deep Learning for Object Detectioncited by 50
  11. 2019CornerNet-Lite: Efficient Keypoint Based Object Detectioncited by 24
  12. 2016Deep Cuboid Detection: Beyond 2D Bounding Boxescited by 6
2 more
  1. 2020Fully-Automated Packaging Structure Recognition in Logistics Environmentscited by 6
  2. 2020An Image Processing Pipeline for Automated Packaging Structure Recognitioncited by 1

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Cited by year

Citing papers per year: 2022: 1; 2023: 5.

6 papers.

  1. 2023Literature Review: Computer Vision Applications in Transportation Logistics and Warehousingcited by 5
  2. 2022Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logisticscited by 4
  3. 2023Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logisticscited by 1
  4. 2023Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metricscited by 1
  5. 2023TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chainscited by 1
  6. 2023Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluationscited by 0