Cover Image

Your ViT is Secretly an Image Segmentation Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kerssies, Tommie, Cavagnero, Niccolò, Hermans, Alexander, Norouzi, Narges, Averta, Giuseppe, Leibe, Bastian, Dubbelman, Gijs, de Geus, Daan
Format:	Preprint
Published:	2025
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

VidEoMT: Your ViT is Secretly Also a Video Segmentation Model
by: Norouzi, Narges, et al.
Published: (2026)

PMT: Plain Mask Transformer for Image and Video Segmentation with Frozen Vision Encoders
by: Cavagnero, Niccolò, et al.
Published: (2026)

How to Benchmark Vision Foundation Models for Semantic Segmentation?
by: Kerssies, Tommie, et al.
Published: (2024)

First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
by: Kerssies, Tommie, et al.
Published: (2024)

ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers
by: Norouzi, Narges, et al.
Published: (2024)

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation
by: Englert, Brunó B., et al.
Published: (2024)

Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
by: de Geus, Daan, et al.
Published: (2024)

Towards Data-Efficient Video Pre-training with Frozen Image Foundation Models
by: Orlova, Svetlana, et al.
Published: (2026)

What is the Added Value of UDA in the VFM Era?
by: Englert, Brunó B., et al.
Published: (2025)

Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models
by: Gu, Jing, et al.
Published: (2026)

Simplifying Traffic Anomaly Detection with Video Foundation Models
by: Orlova, Svetlana, et al.
Published: (2025)

A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens
by: Kerssies, Tommie, et al.
Published: (2026)

Sa2VA-i: Improving Sa2VA Results with Consistent Training and Inference
by: Nekrasov, Alexey, et al.
Published: (2025)

How Important are Videos for Training Video LLMs?
by: Lydakis, George, et al.
Published: (2025)

DONUT: A Decoder-Only Model for Trajectory Prediction
by: Knoche, Markus, et al.
Published: (2025)

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
by: Garcia, Gonzalo Martin, et al.
Published: (2024)

DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
by: Knaebel, Karim, et al.
Published: (2025)

The revenge of BiSeNet: Efficient Multi-Task Image Segmentation
by: Rosi, Gabriele, et al.
Published: (2024)

PEM: Prototype-based Efficient MaskFormer for Image Segmentation
by: Cavagnero, Niccolò, et al.
Published: (2024)

Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding
by: Yilmaz, Kadir, et al.
Published: (2026)

Transient Fault Tolerant Semantic Segmentation for Autonomous Driving
by: Iurada, Leonardo, et al.
Published: (2024)

Point2Vec for Self-Supervised Representation Learning on Point Clouds
by: Knaebel, Karim, et al.
Published: (2023)

OoDIS: Anomaly Instance Segmentation and Detection Benchmark
by: Nekrasov, Alexey, et al.
Published: (2024)

OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting
by: Piekenbrinck, Jens, et al.
Published: (2025)

The BRAVO Semantic Segmentation Challenge Results in UNCV2024
by: Vu, Tuan-Hung, et al.
Published: (2024)

VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic Segmentation
by: Englert, Brunó B., et al.
Published: (2025)

SurGe: Improved Surface Geometry in Point Maps
by: Knaebel, Karim, et al.
Published: (2026)

Vanilla ViT for Automotive Point Cloud Semantic Segmentation
by: Puy, Gilles, et al.
Published: (2026)

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

Mask4Former: Mask Transformer for 4D Panoptic Segmentation
by: Yilmaz, Kadir, et al.
Published: (2023)

Point-VOS: Pointing Up Video Object Segmentation
by: Zulfikar, Idil Esen, et al.
Published: (2024)

DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation
by: Chen, Renqi, et al.
Published: (2024)

Searching on a Budget: HW-NAS with 10 Latency Probes
by: Capuano, Francesco, et al.
Published: (2025)

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

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
by: Wienholt, Patrick, et al.
Published: (2024)

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)

SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
by: Cuttano, Claudia, et al.
Published: (2025)

Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose Initialization
by: Schmidt, Christian, et al.
Published: (2024)

MaskTerial: A Foundation Model for Automated 2D Material Flake Detection
by: Uslu, Jan-Lucas, et al.
Published: (2024)