STREETS: A Novel Camera Network Dataset for Traffic Flow

By Corey Snyder, Minh N. Do. 2019

57 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks, Remote Sensing

How researchers see this paper

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

In Evaluation & Benchmarks

1. Ross B. Girshick
2. Alexander Kirillov
3. Piotr Doll'ar
4. Hanzi Mao
5. Tete Xiao
6. Alexander C. Berg
7. Wan-Yen Lo
8. Laura Gustafson

Citations in the corpus

• Segment Anything (2023, methodology): “-20 0 +20 +40 IoU delta at 1 center point GTEA [34, 63] TrashCan [52] DRAM [24] PIDRay [104] Cityscapes [25] WoodScape [112] IBD [17] EgoHOS [113] Plittersdorf [46] VISOR [28, 27] NDISPark [22, 23] Hypersim [86] OVIS [81] ADE20K [117] iShape [111] ZeroWaste-f [6] STREETS [91] LVIS [44] NDD20 [100] T”
• Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020, background): “Among those challenges, Intelligent Transportation Systems (ITS) has become an active research area [1], given its potential to promote system efficiency and decisionmaking.”
• SAM 2: Segment Anything in Images and Videos (2024, unknown): “…2020), NDISPark (Ciampi et al., 2021, 2022), OVIS (Qi et al., 2022), PPDLS (Minervini et al., 2016), Plittersdorf (Haucke et al., 2022), STREETS (Snyder & Do, 2019), TimberSeg (Fortin et al., 2022), TrashCan (Hong et al., 2020), VISOR (Darkhalil et al., 2022; Damen et al., 2022), WoodScape…”