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08/01/2023
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
Open-world instance-level scene understanding aims to locate and recogni...
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04/03/2023
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Existing 3D scene understanding tasks have achieved high performance on ...
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11/29/2022
Language-driven Open-Vocabulary 3D Scene Understanding
Open-vocabulary scene understanding aims to localize and recognize unsee...
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05/30/2022
Towards Efficient 3D Object Detection with Knowledge Distillation
Despite substantial progress in 3D object detection, advanced 3D detecto...
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04/04/2022
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation
Deep learning approaches achieve prominent success in 3D semantic segmen...
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03/10/2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Large-scale pre-training has been proven to be crucial for various compu...
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08/15/2021
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
In this paper, we present a self-training method, named ST3D++, with a h...
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07/23/2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
While self-training has advanced semi-supervised semantic segmentation, ...
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03/09/2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
We present a new domain adaptive self-training pipeline, named ST3D, for...
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08/28/2020
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges
In this technical report, we present the top-performing LiDAR-only solut...
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12/18/2019
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
We focus on Unsupervised Domain Adaptation (UDA) for the task of semanti...
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11/19/2018