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Computer Vision – ECCV 2022

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Cover of 'Computer Vision – ECCV 2022'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 DFNet: Enhance Absolute Pose Regression with Direct Feature Matching
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    Chapter 2 Cornerformer: Purifying Instances for Corner-Based Detectors
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    Chapter 3 PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection
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    Chapter 4 Robust Object Detection with Inaccurate Bounding Boxes
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    Chapter 5 Efficient Decoder-Free Object Detection with Transformers
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    Chapter 6 Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
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    Chapter 7 ReAct: Temporal Action Detection with Relational Queries
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    Chapter 8 Towards Accurate Active Camera Localization
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    Chapter 9 Camera Pose Auto-encoders for Improving Pose Regression
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    Chapter 10 Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining
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    Chapter 11 Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization
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    Chapter 12 UC-OWOD: Unknown-Classified Open World Object Detection
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    Chapter 13 RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers
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    Chapter 14 GTCaR: Graph Transformer for Camera Re-localization
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    Chapter 15 3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
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    Chapter 16 Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
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    Chapter 17 Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
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    Chapter 18 SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection
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    Chapter 19 ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement
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    Chapter 20 Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
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    Chapter 21 Long-Tailed Instance Segmentation Using Gumbel Optimized Loss
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    Chapter 22 DetMatch: Two Teachers are Better than One for Joint 2D and 3D Semi-Supervised Object Detection
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    Chapter 23 ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
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    Chapter 24 Is Geometry Enough for Matching in Visual Localization?
  26. Altmetric Badge
    Chapter 25 SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
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    Chapter 26 PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry
  28. Altmetric Badge
    Chapter 27 GLAMD: Global and Local Attention Mask Distillation for Object Detectors
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    Chapter 28 FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
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    Chapter 29 Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
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    Chapter 30 Class-Agnostic Object Detection with Multi-modal Transformer
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    Chapter 31 Enhancing Multi-modal Features Using Local Self-attention for 3D Object Detection
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    Chapter 32 Object Detection as Probabilistic Set Prediction
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    Chapter 33 Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
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    Chapter 34 Neural Correspondence Field for Object Pose Estimation
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    Chapter 35 On Label Granularity and Object Localization
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    Chapter 36 OIMNet ++ : Prototypical Normalization and Localization-Aware Learning for Person Search
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    Chapter 37 Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure
  39. Altmetric Badge
    Chapter 38 Learning with Free Object Segments for Long-Tailed Instance Segmentation
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    Chapter 39 Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
  41. Altmetric Badge
    Chapter 40 3D Random Occlusion and Multi-layer Projection for Deep Multi-camera Pedestrian Localization
  42. Altmetric Badge
    Chapter 41 A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
  43. Altmetric Badge
    Chapter 42 Simple Open-Vocabulary Object Detection
Attention for Chapter 6: Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
6 X users

Citations

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2 Dimensions

Readers on

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46 Mendeley
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Chapter title
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
Chapter number 6
Book title
Computer Vision – ECCV 2022
Published in
arXiv, November 2022
DOI 10.1007/978-3-031-20080-9_6
Book ISBNs
978-3-03-120079-3, 978-3-03-120080-9
Authors

Yu Hong, Hang Dai, Yong Ding, Hong, Yu, Dai, Hang, Ding, Yong

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Master 9 20%
Other 2 4%
Researcher 2 4%
Student > Doctoral Student 1 2%
Other 2 4%
Unknown 19 41%
Readers by discipline Count As %
Computer Science 21 46%
Engineering 3 7%
Mathematics 1 2%
Unspecified 1 2%
Unknown 20 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2022.
All research outputs
#13,595,794
of 24,093,053 outputs
Outputs from arXiv
#193,162
of 1,018,817 outputs
Outputs of similar age
#158,321
of 421,563 outputs
Outputs of similar age from arXiv
#7,597
of 40,546 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,563 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 40,546 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.