Learning to Generate Training Datasets for Robust Semantic Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Hariat, Marwane, Laurent, Olivier, Kazmierczak, Rémi, Zhang, Shihao, Bursuc, Andrei, Yao, Angela, Franchi, Gianni |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SS3D: End2End Self-Supervised 3D from Web Videos
by: Hariat, Marwane, et al.
Published: (2026)
by: Hariat, Marwane, et al.
Published: (2026)
Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
by: Hoche, Joseph, et al.
Published: (2025)
by: Hoche, Joseph, et al.
Published: (2025)
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
by: Hariat, Marwane, et al.
Published: (2026)
by: Hariat, Marwane, et al.
Published: (2026)
CLIP-QDA: An Explainable Concept Bottleneck Model
by: Kazmierczak, Rémi, et al.
Published: (2023)
by: Kazmierczak, Rémi, et al.
Published: (2023)
Explainability for Vision Foundation Models: A Survey
by: Kazmierczak, Rémi, et al.
Published: (2025)
by: Kazmierczak, Rémi, et al.
Published: (2025)
Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks
by: Hariat, Marwane, et al.
Published: (2026)
by: Hariat, Marwane, et al.
Published: (2026)
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
by: Kazmierczak, Rémi, et al.
Published: (2025)
by: Kazmierczak, Rémi, et al.
Published: (2025)
FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
by: Benigmim, Yasser, et al.
Published: (2025)
by: Benigmim, Yasser, et al.
Published: (2025)
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
by: Xia, Guoxuan, et al.
Published: (2024)
by: Xia, Guoxuan, et al.
Published: (2024)
From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift
by: Gabetni, Firas, et al.
Published: (2026)
by: Gabetni, Firas, et al.
Published: (2026)
Leveraging Visual Signals for Robust Token-Level Uncertainty in Vision-Language Generation
by: Hoche, Joseph, et al.
Published: (2026)
by: Hoche, Joseph, et al.
Published: (2026)
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
by: Simoncini, Walter, et al.
Published: (2024)
by: Simoncini, Walter, et al.
Published: (2024)
Deep Regression Representation Learning with Topology
by: Zhang, Shihao, et al.
Published: (2024)
by: Zhang, Shihao, et al.
Published: (2024)
A Geometric Unification of Concept Learning with Concept Cones
by: Rocchi--Henry, Alexandre, et al.
Published: (2025)
by: Rocchi--Henry, Alexandre, et al.
Published: (2025)
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
by: Vobecky, Antonin, et al.
Published: (2022)
by: Vobecky, Antonin, et al.
Published: (2022)
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
by: Sirko-Galouchenko, Sophia, et al.
Published: (2024)
by: Sirko-Galouchenko, Sophia, et al.
Published: (2024)
A Simple Recipe for Language-guided Domain Generalized Segmentation
by: Fahes, Mohammad, et al.
Published: (2023)
by: Fahes, Mohammad, et al.
Published: (2023)
Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
by: Wysoczańska, Monika, et al.
Published: (2024)
by: Wysoczańska, Monika, et al.
Published: (2024)
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
by: Croce, Francesco, et al.
Published: (2023)
by: Croce, Francesco, et al.
Published: (2023)
BIGFix: Bidirectional Image Generation with Token Fixing
by: Besnier, Victor, et al.
Published: (2025)
by: Besnier, Victor, et al.
Published: (2025)
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
by: Franchi, Gianni, et al.
Published: (2024)
by: Franchi, Gianni, et al.
Published: (2024)
Domain Adaptation with a Single Vision-Language Embedding
by: Fahes, Mohammad, et al.
Published: (2024)
by: Fahes, Mohammad, et al.
Published: (2024)
Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs
by: Chorna, Sofiia, et al.
Published: (2025)
by: Chorna, Sofiia, et al.
Published: (2025)
Training-Free Dataset Pruning for Instance Segmentation
by: Dai, Yalun, et al.
Published: (2025)
by: Dai, Yalun, et al.
Published: (2025)
Improving Deep Regression with Tightness
by: Zhang, Shihao, et al.
Published: (2025)
by: Zhang, Shihao, et al.
Published: (2025)
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
by: Vu, Tuan-Hung, et al.
Published: (2024)
by: Vu, Tuan-Hung, et al.
Published: (2024)
Condensing Action Segmentation Datasets via Generative Network Inversion
by: Ding, Guodong, et al.
Published: (2025)
by: Ding, Guodong, et al.
Published: (2025)
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
by: Gabetni, Firas, et al.
Published: (2025)
by: Gabetni, Firas, et al.
Published: (2025)
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
by: Gidaris, Spyros, et al.
Published: (2023)
by: Gidaris, Spyros, et al.
Published: (2023)
Learning Ordinality in Semantic Segmentation
by: Cruz, Ricardo P. M., et al.
Published: (2024)
by: Cruz, Ricardo P. M., et al.
Published: (2024)
A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
by: Zavadski, Denis, et al.
Published: (2025)
by: Zavadski, Denis, et al.
Published: (2025)
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
by: Ha, SeungBum, et al.
Published: (2024)
by: Ha, SeungBum, et al.
Published: (2024)
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
by: Humblot-Renaux, Galadrielle, et al.
Published: (2025)
by: Humblot-Renaux, Galadrielle, et al.
Published: (2025)
Overcoming Support Dilution for Robust Few-shot Semantic Segmentation
by: Tang, Wailing, et al.
Published: (2025)
by: Tang, Wailing, et al.
Published: (2025)
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
by: Bacchin, Alberto, et al.
Published: (2024)
by: Bacchin, Alberto, et al.
Published: (2024)
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
by: Halmosi, Levente, et al.
Published: (2024)
by: Halmosi, Levente, et al.
Published: (2024)
NECO: NEural Collapse Based Out-of-distribution detection
by: Ammar, Mouïn Ben, et al.
Published: (2023)
by: Ammar, Mouïn Ben, et al.
Published: (2023)
Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets
by: Xu, Lei, et al.
Published: (2024)
by: Xu, Lei, et al.
Published: (2024)
Compositional Adversarial Training for Robust Visual Watermarking
by: Satheesh, Anirudh, et al.
Published: (2026)
by: Satheesh, Anirudh, et al.
Published: (2026)
SuperQuadricOcc: Real-Time Self-Supervised Semantic Occupancy Estimation with Superquadric Volume Rendering
by: Hayes, Seamie, et al.
Published: (2025)
by: Hayes, Seamie, et al.
Published: (2025)
Similar Items
-
SS3D: End2End Self-Supervised 3D from Web Videos
by: Hariat, Marwane, et al.
Published: (2026) -
Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
by: Hoche, Joseph, et al.
Published: (2025) -
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
by: Hariat, Marwane, et al.
Published: (2026) -
CLIP-QDA: An Explainable Concept Bottleneck Model
by: Kazmierczak, Rémi, et al.
Published: (2023) -
Explainability for Vision Foundation Models: A Survey
by: Kazmierczak, Rémi, et al.
Published: (2025)