A Novel Multi-layer Framework for Tiny Obstacle Discovery

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A Novel Multi-layer Framework for Tiny Obstacle Discovery

23 April 2019

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Papers citing "A Novel Multi-layer Framework for Tiny Obstacle Discovery"

6 / 6 papers shown

Title
Cues3D: Unleashing the Power of Sole NeRF for Consistent and Unique Instances in Open-Vocabulary 3D Panoptic Segmentation Feng Xue Wenzhuang Xu Guofeng Zhong Anlong Minga N. Sebe 123 0 0 01 May 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios Ziming Huang Xurui Li Haotian Liu Feng Xue Yuzhe Wang Yu Zhou 103 0 0 18 Oct 2024
MergeNet: A Deep Net Architecture for Small Obstacle Discovery Krishnam Gupta Syed Ashar Javed Vineet Gandhi Madhava Krishna 58 25 0 17 Mar 2018
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling Sebastian Ramos S. Gehrig Peter Pinggera Uwe Franke Carsten Rother 153 174 0 20 Dec 2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles Peter Pinggera Sebastian Ramos S. Gehrig Uwe Franke Carsten Rother Rudolf Mester UQCV 55 192 0 15 Sep 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,360 0 04 Jun 2015

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