Cover Image

Vanilla ViT for Automotive Point Cloud Semantic Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Puy, Gilles, Samet, Nermin, Boulch, Alexandre, Gidaris, Spyros, VU, Tuan-Hung, Marlet, Renaud
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IGLOSS: Image Generation for Lidar Open-vocabulary Semantic Segmentation
by: Samet, Nermin, et al.
Published: (2026)

LOSC: LiDAR Open-voc Segmentation Consolidator
by: Samet, Nermin, et al.
Published: (2025)

MILAN: Milli-Annotations for Lidar Semantic Segmentation
by: Samet, Nermin, et al.
Published: (2024)

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
by: Michele, Björn, et al.
Published: (2023)

Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
by: Michele, Björn, et al.
Published: (2025)

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
by: Siméoni, Oriane, et al.
Published: (2023)

Three Pillars improving Vision Foundation Model Distillation for Lidar
by: Puy, Gilles, et al.
Published: (2023)

Driving on Registers
by: Kirby, Ellington, et al.
Published: (2026)

UNIT: Unsupervised Online Instance Segmentation through Time
by: Sautier, Corentin, et al.
Published: (2024)

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
by: Michele, Björn, et al.
Published: (2024)

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
by: Martyniuk, Tetiana, et al.
Published: (2025)

Valeo4Cast: A Modular Approach to End-to-End Forecasting
by: Xu, Yihong, et al.
Published: (2024)

Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline
by: Sautier, Corentin, et al.
Published: (2025)

LOGen: Toward Lidar Object Generation by Point Diffusion
by: Kirby, Ellington, et al.
Published: (2024)

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
by: Sirko-Galouchenko, Sophia, et al.
Published: (2024)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
by: Bartoccioni, Florent, et al.
Published: (2025)

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction
by: Karypidis, Efstathios, et al.
Published: (2026)

A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds
by: Sulzer, Raphael, et al.
Published: (2023)

3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
by: Galaaoui, Salma, et al.
Published: (2025)

Applying ViT in Generalized Few-shot Semantic Segmentation
by: Geng, Liyuan, et al.
Published: (2024)

Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
by: Karypidis, Efstathios, et al.
Published: (2025)

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
by: Rommel, Cédric, et al.
Published: (2023)

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
by: Vobecky, Antonin, et al.
Published: (2022)

Coevolving Representations in Joint Image-Feature Diffusion
by: Kouzelis, Theodoros, et al.
Published: (2026)

Your ViT is Secretly an Image Segmentation Model
by: Kerssies, Tommie, et al.
Published: (2025)

DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model
by: Feng, Yu, et al.
Published: (2024)

Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
by: Ngo, Ba Hung, et al.
Published: (2024)

Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
by: Wysoczańska, Monika, et al.
Published: (2024)

SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
by: Kakogeorgiou, Ioannis, et al.
Published: (2023)

DINO-Foresight: Looking into the Future with DINO
by: Karypidis, Efstathios, et al.
Published: (2024)

WAIT: Feature Warping for Animation to Illustration video Translation using GANs
by: Hicsonmez, Samet, et al.
Published: (2023)

Deeper Inside Deep ViT
by: Hong, Sungrae
Published: (2025)

SPAR: Single-Pass Any-Resolution ViT for Open-vocabulary Segmentation
by: Kombol, Naomi, et al.
Published: (2026)

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization
by: Zhong, Yunshan, et al.
Published: (2023)

RepViT: Revisiting Mobile CNN From ViT Perspective
by: Wang, Ao, et al.
Published: (2023)

Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
by: Wei, Jiacheng, et al.
Published: (2021)

3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds
by: Yamada, Ryousuke, et al.
Published: (2025)

Multi-Token Prediction Needs Registers
by: Gerontopoulos, Anastasios, et al.
Published: (2025)

Multimodal Point Cloud Semantic Segmentation With Virtual Point Enhancement
by: Duan, Zaipeng, et al.
Published: (2025)

SegDebias: Test-Time Bias Mitigation for ViT-Based CLIP via Segmentation
by: Wu, Fangyu, et al.
Published: (2025)