:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gerard, Sebastian, Sullivan, Josephine
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.20188
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deterministic Mode Proposals: An Efficient Alternative to Generative Sampling for Ambiguous Segmentation
by: Gerard, Sebastian, et al.
Published: (2026)

A simple, strong baseline for building damage detection on the xBD dataset
by: Gerard, Sebastian, et al.
Published: (2024)

Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
by: Gerard, Sebastian, et al.
Published: (2022)

Boundary-Aware Uncertainty Quantification for Wildfire Spread Prediction
by: Funk, Jonas V.
Published: (2026)

Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark
by: Lahrichi, Saad, et al.
Published: (2025)

FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models
by: Corradini, Barbara Toniella, et al.
Published: (2024)

TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Prediction
by: Zhao, Yu, et al.
Published: (2024)

U-Net with Hadamard Transform and DCT Latent Spaces for Next-day Wildfire Spread Prediction
by: Luo, Yingyi, et al.
Published: (2026)

Wildfire Smoke Detection System: Model Architecture, Training Mechanism, and Dataset
by: Wang, Chong, et al.
Published: (2023)

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
by: Barsellotti, Luca, et al.
Published: (2024)

Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion
by: Björkstrand, David, et al.
Published: (2025)

Training-Free Out-Of-Distribution Segmentation With Foundation Models
by: Nayal, Laith, et al.
Published: (2025)

STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models
by: Yadav, Ankit, et al.
Published: (2026)

Detecting Wildfires on UAVs with Real-time Segmentation Trained by Larger Teacher Models
by: Pesonen, Julius, et al.
Published: (2024)

FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion
by: Wang, Hao, et al.
Published: (2024)

Segmentation-Free Guidance for Text-to-Image Diffusion Models
by: Azarian, Kambiz, et al.
Published: (2024)

Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data
by: Zhou, Yihang, et al.
Published: (2025)

E-SAM: Training-Free Segment Every Entity Model
by: Zhang, Weiming, et al.
Published: (2025)

Training-Free Fine-Grained Semantic Segmentations in Low Data Regimes: A FungiTastic Baseline
by: Cavada, Sebastian, et al.
Published: (2026)

Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
by: Huang, Hongtao, et al.
Published: (2025)

$Δ$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2024)

FireSenseNet: A Dual-Branch CNN with Cross-Attentive Feature Interaction for Next-Day Wildfire Spread Prediction
by: Han, Jinzhen, et al.
Published: (2026)

CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
by: Sadat, Seyedmorteza, et al.
Published: (2023)

Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
by: Karmann, Markus, et al.
Published: (2024)

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
by: Gao, Xin, et al.
Published: (2025)

Coupled Diffusion Sampling for Training-Free Multi-View Image Editing
by: Alzayer, Hadi, et al.
Published: (2025)

Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
by: Chen, Chubin, et al.
Published: (2025)

FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting
by: Zhou, Nan, et al.
Published: (2025)

Training-Free Robust Interactive Video Object Segmentation
by: Wei, Xiaoli, et al.
Published: (2024)

Training-Free Semantic Segmentation via LLM-Supervision
by: Sun, Wenfang, et al.
Published: (2024)

Training-free Diffusion Acceleration with Bottleneck Sampling
by: Tian, Ye, et al.
Published: (2025)

Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache
by: Cui, Bowen, et al.
Published: (2026)

Scale Where It Matters: Training-Free Localized Scaling for Diffusion Models
by: Ren, Qin, et al.
Published: (2025)

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
by: Kim, Youngmin, et al.
Published: (2024)

Decoupling Training-Free Guided Diffusion by ADMM
by: Zhang, Youyuan, et al.
Published: (2024)

Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting
by: Xu, Yiming, et al.
Published: (2024)

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
by: Xu, Ruojun, et al.
Published: (2025)

Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models
by: Wang, Qian, et al.
Published: (2024)

Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
by: Wang, Jinglong, et al.
Published: (2023)

Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
by: Shi, Yuheng, et al.
Published: (2024)