Cover Image

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sassoon, Jordan, Szczepanski, Michal, Poreba, Martyna
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models
by: Apedo, Yvon, et al.
Published: (2026)

Where Do Tokens Go? Understanding Pruning Behaviors in STEP at High Resolutions
by: Szczepanski, Michal, et al.
Published: (2025)

Token-Space Mask Prediction for Efficient Vision Transformer Segmentation
by: Galagain, Calvin, et al.
Published: (2026)

Hyperspectral Adapter for Semantic Segmentation with Vision Foundation Models
by: Hurtado, Juana Valeria, et al.
Published: (2025)

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

CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models
by: Nguyen, Kiet A., et al.
Published: (2024)

Causal Unsupervised Semantic Segmentation
by: Kim, Junho, et al.
Published: (2023)

Lorentz Framework for Semantic Segmentation
by: Hasan, Zahid, et al.
Published: (2026)

Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation
by: Kienzle, Daniel, et al.
Published: (2024)

Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation
by: Hwa, DeShin, et al.
Published: (2025)

Integer-Only Operations on Extreme Learning Machine Test Time Classification
by: Machadoa, Emerson Lopes, et al.
Published: (2026)

Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
by: Landgraf, Steven, et al.
Published: (2024)

Occlusion-Ordered Semantic Instance Segmentation
by: Baselizadeh, Soroosh, et al.
Published: (2025)

A Fully Transformer Based Multimodal Framework for Explainable Cancer Image Segmentation Using Radiology Reports
by: Adahada, Enobong, et al.
Published: (2025)

TopoLoRA-SAM: Topology-Aware Parameter-Efficient Adaptation of Foundation Segmenters for Thin-Structure and Cross-Domain Binary Semantic Segmentation
by: Khazem, Salim
Published: (2026)

GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
by: Szczepański, Tomasz, et al.
Published: (2025)

GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation
by: Eghbali, Niloufar, et al.
Published: (2025)

SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
by: Li, Xuewei, et al.
Published: (2023)

ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
by: Chen, Danhui, et al.
Published: (2025)

Collaborating Foundation Models for Domain Generalized Semantic Segmentation
by: Benigmim, Yasser, et al.
Published: (2023)

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

Open-Vocabulary Panoptic Segmentation Using BERT Pre-Training of Vision-Language Multiway Transformer Model
by: Chen, Yi-Chia, et al.
Published: (2024)

Red-Teaming Segment Anything Model
by: Jankowski, Krzysztof, et al.
Published: (2024)

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
by: Dhakal, Manish, et al.
Published: (2024)

ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
by: Kordasiabi, Sheida Rahnamai, et al.
Published: (2025)

Automated Monitoring of Cultural Heritage Artifacts Using Semantic Segmentation
by: Ranieri, Andrea, et al.
Published: (2025)

Learning Semantic Segmentation with Query Points Supervision on Aerial Images
by: Rivier, Santiago, et al.
Published: (2023)

Adaptive Patching for High-resolution Image Segmentation with Transformers
by: Zhang, Enzhi, et al.
Published: (2024)

Representation Separation for Semantic Segmentation with Vision Transformers
by: Hong, Yuanduo, et al.
Published: (2022)

PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation
by: Wahed, Muntasir, et al.
Published: (2024)

SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation
by: Miller, Luke James, et al.
Published: (2026)

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
by: Han, Boyu, et al.
Published: (2024)

Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
by: Li, Panfeng, et al.
Published: (2018)

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
by: Kim, Kwanyoung, et al.
Published: (2024)

Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
by: Abeywickrama, Sachith, et al.
Published: (2025)

The Missing Point in Vision Transformers for Universal Image Segmentation
by: Shahabodini, Sajjad, et al.
Published: (2025)

Composition Vision-Language Understanding via Segment and Depth Anything Model
by: Huo, Mingxiao, et al.
Published: (2024)

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2025)

Segment Any Vehicle: Semantic and Visual Context Driven SAM and A Benchmark
by: Wang, Xiao, et al.
Published: (2025)

Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images
by: Seidlitz, Silvia, et al.
Published: (2024)