The Ikshana Hypothesis of Human Scene Understanding

Daliparthi, Venkata Satya Sai Ajay

doi:10.48550/arxiv.2101.10837

Cited by 1 publication

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“…In [13], they proposed that the network should learn the input image more than once, the network should combine memory and input images to learn repeatedly at the different stages of the network. Instead, unlike them, we let the detector reconstruct the input image again.…”

Section: Introductionmentioning

confidence: 99%

Region Resolution Learning and Region Segmentation Learning with Overall and Body Part Perception for Pedestrian Detection

et al. 2022

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Pedestrian detection is a great challenge, especially in complex and diverse occlusion environments. When a pedestrian is in an occlusion situation, the pedestrian visible part becomes incomplete, and the body bounding box contains part of the pedestrian, other objects and backgrounds. Based on this, we attempt different methods to help the detector learn more features of the pedestrian under different occlusion situations. First, we propose region resolution learning, which learns the pedestrian regions on the input image. Second, we propose fine-grained segmentation learning to learn the outline and shape of different parts of pedestrians. We propose an anchor-free approach that combines a pedestrian detector CSP, region Resolution learning and Segmentation learning (CSPRS). We help the detector to learn extra features. CSPRS provides another way to perceive pixels, outline and shapes in pedestrian areas. This detector includes region resolution learning, and segmentation learning helps the detector to locate pedestrians. By simply adding the region resolution learning branch and segmentation branch, CSPRS achieves good results. The experimental results show that both methods of learning pedestrian features improve performance. We evaluate our proposed detector CSPRS on the CityPersons benchmark, and the experiments show that CSPRS achieved 42.53% on the heavy subset on the CityPersons dataset.

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Section: Introductionmentioning

confidence: 99%