WorkingHands: A Hand-Tool Assembly Dataset for Image Segmentation and Activity Mining

By Roy Shilkrot, Supreeth Narasimhaswamy, Saif Vazir, Minh Hoai. 2019

26 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Karthik Ramani
2. Minh Hoai
3. Simon Stent
4. Supreeth Narasimhaswamy
5. Shenghao Zhou
6. Lingzhi Zhang
7. Sangpil Kim
8. Anirudh Vegesana

Citations in the corpus

• Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications (2022, background): “More recently, many works [1,73,4,34,36,37,58,59,61,24,50] have applied deep networks for hand or object segmentation.”
• Contextual Attention for Hand Detection in the Wild (2019, background): “Table 2 Name Scope # images Label EgoHands [2] Google glasses 4,800 Manual Handseg [23] Color gloves 210,000 Auto NYUHands [31] Three subjects 6,736 Auto WorkingHands [29] Three subjects 7,905 Man.+Syn.”
• First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset (2020, methodology): “Researchers create hand segmentation datasets by manually drawing polygon or coloring the hand on RGB frames [33, 38, 48, 48, 50].”