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3D Object Recognition

3D object recognition is the task of recognising objects from 3D data.

Note that there are related tasks you can look at, such as 3D Object Detection which have more leaderboards.

(Image credit: Look Further to Recognize Better)

Papers

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Showing 1–10 of 97 papers

TitleStatusHype
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point CloudsCode0
Aligning Text, Images, and 3D Structure Token-by-Token—0
Topology-Guided Knowledge Distillation for Efficient Point Cloud ProcessingCode0
LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition—0
Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition—0
Targeted View-Invariant Adversarial Perturbations for 3D Object RecognitionCode0
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled DataCode0
Formula-Supervised Visual-Geometric Pre-training—0
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation—0
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
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