Contextualizing Object Detection and Classification

By Qiang Chen, Zheng Song, Jian Dong, Zhongyang Huang, Yang Hua, Shuicheng Yan. 2015

42 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

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. Jianfei Cai
2. Hao Yang
3. Jianxin Wu
4. Joey Tianyi Zhou
5. Bin-Bin Gao
6. Yu Zhang
7. Liang Lin
8. Luc Van Gool

In Media Technology

1. Joey Tianyi Zhou
2. Jianfei Cai
3. Jianxin Wu
4. Bin-Bin Gao
5. Yu Zhang
6. Liang Lin
7. Tianshui Chen

Citations in the corpus

• ImageNet Large Scale Visual Recognition Challenge (2014, neutral): “2 – National University of Singapore†, IBM Research Australia‡ Jian Dong†, Yunchao Wei†, Min Lin†, Qiang Chen‡, Wei Xia†, Shuicheng Yan†(Lin et al. 2014a; Chen et al. 2014) NUS-BST 9.”
• Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning (2015, neutral): “[ 13], [48].”
• Exploit Bounding Box Annotations for Multi-Label Object Recognition (2015, methodology): “[6] presented an Ambiguity guided Mixture Model (AMM) to integrate external context features and object features, and then used the contextualized SVM to iteratively boost the performance of object classification and detection tasks.”
• Deep learning for visual understanding: A review (2016, unknown): “In the Ima-geNet Large Scale Visual Recognition Challenge 2014 (ILSVRC 2014), the winning team NUS concatenated all the raw detection scores and combined them with the outputs from a traditional classi fi cation framework by context re fi nement [37].”
• Deep learning for visual understanding (2017, unknown): “(ILSVRC 2014), the winning team NUS concatenated all the raw detection scores and combined them with the outputs from a traditional classi cation framework by context re nement [78].”
• Object Detection in 20 Years: A Survey (2019, unknown): “139], MultiPath [140], GBDNet [141, 142], CC-Net [143], MultiRegion-CNN [144], CoupleNet [145], DPM [14, 15], StructDet [146], YOLO [20], RFCN++ [147], ION [148], AttenContext [149], CtxSVM [150], PersonContext [151], SMN [152], RetinaNet [23], SIN [153].”