4.7 Article

Feature flow: In-network feature flow estimation for video object detection

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Multi-scale structural kernel representation for object detection

Hao Wang et al.

Summary: The paper introduces a Multiscale Structural Kernel Representation (MSKR) for improving object detection performance by tackling the challenges of high-order statistics using polynomial kernel approximation and feature power normalization. This method generates more discriminative representations, improves object detection performance, and can be flexibly integrated into existing detectors, achieving competitive performance.

PATTERN RECOGNITION (2021)

Article Computer Science, Artificial Intelligence

Gated CNN: Integrating multi-scale feature layers for object detection

Jin Yuan et al.

PATTERN RECOGNITION (2020)

Article Computer Science, Artificial Intelligence

Multi-model ensemble with rich spatial information for object detection

Jie Xu et al.

PATTERN RECOGNITION (2020)

Article Computer Science, Artificial Intelligence

Hierarchical objectness network for region proposal generation and object detection

Juan Wang et al.

PATTERN RECOGNITION (2018)

Article Computer Science, Artificial Intelligence

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)