mlsanityData to 14 Oct 2026

Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression

arXiv 2111.09204 ↗First posted 17 Nov 2021cs.RO cs.CVcited by 9

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Abstract (arXiv)

Edges are the fundamental visual element for discovering tiny obstacles using a monocular camera. Nevertheless, tiny obstacles often have weak and inconsistent edge cues due to various properties such as small size and similar appearance to the free space, making it hard to capture them. ...

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 17 of its 42 references that are in the map. First posted on arXiv 17 Nov 2021.

Builds on

17 of 42 references.

References · 17

  1. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  2. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,859
  3. 2015SSD: Single Shot MultiBox Detectorcited by 3,130
  4. 2016YOLO9000: Better, Faster, Strongercited by 1,431
  5. 2015Holistically-Nested Edge Detectioncited by 592
  6. 2019Scale-Aware Trident Networks for Object Detectioncited by 159
  7. 2017An Analysis of Scale Invariance in Object Detection - SNIPcited by 120
  8. 2016Lost and Found: Detecting Small Road Hazards for Self-Driving Vehiclescited by 117
  9. 2014Fast Edge Detection Using Structured Forestscited by 65
  10. 2016Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modelingcited by 28
  11. 2015Fast image-based obstacle detection from unmanned surface vehiclescited by 23
  12. 2018Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentationcited by 21
5 more
  1. 2015Unsupervised Object Discovery and Tracking in Video Collectionscited by 17
  2. 2019A Novel Multi-layer Framework for Tiny Obstacle Discoverycited by 14
  3. 2018MergeNet: A Deep Net Architecture for Small Obstacle Discoverycited by 11
  4. 2017J-MOD2: Joint Monocular Obstacle Detection and Depth Estimationcited by 9
  5. 2016Scale-aware Pixel-wise Object Proposal Networkscited by 3

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Cited by year

Citing papers per year: 2022: 3; 2023: 2; 2024: 4.

9 papers.

  1. 2023Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objectscited by 23
  2. 2022Fast Road Segmentation via Uncertainty-aware Symmetric Networkcited by 17
  3. 2023UGainS: Uncertainty Guided Anomaly Instance Segmentationcited by 15
  4. 2024AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarioscited by 9
  5. 2024Indoor Obstacle Discovery on Reflective Ground via Monocular Cameracited by 8
  6. 2024Exploiting Low-level Representations for Ultra-Fast Road Segmentationcited by 4
  7. 2022Monocular Depth Distribution Alignment with Low Computationcited by 3
  8. 2024SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Modelcited by 2
  9. 2022MARF: Multiscale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scannerscited by 0