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20152023
most citedMOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

650 citations · 1.5k across the 48 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 20 cited

ActiveRMAP: Radiance Field for Active Mapping And Planning

Huangying Zhan, Jiyang Zheng, Yi Xu +2

A high-quality 3D reconstruction of a scene from a collection of 2D images can be achieved through offline/online mapping methods. In this paper, we explore active mapping from the…

cs.RO2022

Predicting Topological Maps for Visual Navigation in Unexplored Environments

Huangying Zhan, Hamid Rezatofighi, Ian Reid

We propose a robotic learning system for autonomous exploration and navigation in unexplored environments. We are motivated by the idea that even an unseen environment may be famil…

cs.CV2022★ 4 cited

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

Yuyuan Liu, Choubo Ding, Yu Tian +4

Semantic segmentation models classify pixels into a set of known (``in-distribution'') visual classes. When deployed in an open world, the reliability of these models depends on th…

cs.CV2022★ 4 cited

SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes

Libo Sun, Jia-Wang Bian, Huangying Zhan +3

Self-supervised monocular depth estimation has shown impressive results in static scenes. It relies on the multi-view consistency assumption for training networks, however, that is…

cs.CV2022★ 3 cited

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping

Junlin Han, Lars Petersson, Hongdong Li +1

We present a simple method, CropMix, for the purpose of producing a rich input distribution from the original dataset distribution. Unlike single random cropping, which may inadver…

cs.CV2022

You Only Cut Once: Boosting Data Augmentation with a Single Cut

Junlin Han, Pengfei Fang, Weihao Li +5

We present You Only Cut Once (YOCO) for performing data augmentations. YOCO cuts one image into two pieces and performs data augmentations individually within each piece. Applying…