Image de couverture de livre

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Hao, Li, Fang, Qi, Lu, Yang, Ming-Hsuan, Ahuja, Narendra
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Self-Calibrating 4D Novel View Synthesis from Monocular Videos Using Gaussian Splatting
par: Li, Fang, et autres
Publié: (2024)

RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
par: Li, Fang, et autres
Publié: (2025)

Learning Implicit Representation for Reconstructing Articulated Objects
par: Zhang, Hao, et autres
Publié: (2024)

S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
par: Zhang, Hao, et autres
Publié: (2024)

Efficiently Disentangling CLIP for Multi-Object Perception
par: Rawlekar, Samyak, et autres
Publié: (2025)

MagicPose4D: Crafting Articulated Models with Appearance and Motion Control
par: Zhang, Hao, et autres
Publié: (2024)

Open-World Semantic Segmentation Including Class Similarity
par: Sodano, Matteo, et autres
Publié: (2024)

Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
par: Xu, Wenhao, et autres
Publié: (2023)

PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling
par: Zhang, Hao, et autres
Publié: (2025)

Training Class-Imbalanced Diffusion Model Via Overlap Optimization
par: Yan, Divin, et autres
Publié: (2024)

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
par: Wu, Fangwen, et autres
Publié: (2025)

Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
par: Huang, Kuan-Chih, et autres
Publié: (2024)

Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
par: Guo, Jia, et autres
Publié: (2024)

Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
par: Zhang, Hao, et autres
Publié: (2025)

DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
par: Qi, Mengshi, et autres
Publié: (2025)

Multiscale Video Transformers for Class Agnostic Segmentation in Autonomous Driving
par: Cheshmi, Leila, et autres
Publié: (2025)

A Bottom-Up Approach to Class-Agnostic Image Segmentation
par: Dille, Sebastian, et autres
Publié: (2024)

SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
par: Wang, Chaoyang, et autres
Publié: (2024)

ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation
par: Zhou, Shengchao, et autres
Publié: (2025)

Measuring the (Un)Faithfulness of Concept-Based Explanations
par: Kumar, Shubham, et autres
Publié: (2025)

Piecewise-Linear Manifolds for Deep Metric Learning
par: Bhatnagar, Shubhang, et autres
Publié: (2024)

Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model
par: Yuan, Haobo, et autres
Publié: (2024)

Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation
par: Opipari, Anthony, et autres
Publié: (2024)

Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields
par: Dumery, Corentin, et autres
Publié: (2024)

City Navigation in the Wild: Exploring Emergent Navigation from Web-Scale Knowledge in MLLMs
par: Dalal, Dwip, et autres
Publié: (2025)

Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
par: Chan, Kelvin C. K., et autres
Publié: (2024)

Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images
par: Zhong, Jiyuan, et autres
Publié: (2024)

Finding Distributed Object-Centric Properties in Self-Supervised Transformers
par: Rawlekar, Samyak, et autres
Publié: (2026)

Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
par: Han, Yue, et autres
Publié: (2023)

Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
par: Wang, Zhicheng, et autres
Publié: (2023)

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
par: Li, Xiaojie, et autres
Publié: (2024)

Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
par: Zhou, Junwei, et autres
Publié: (2024)

CoCo4D: Comprehensive and Complex 4D Scene Generation
par: Zhou, Junwei, et autres
Publié: (2025)

Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment
par: Zhang, Shi-Chen, et autres
Publié: (2025)

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
par: Chen, Chao, et autres
Publié: (2024)

Potential Field Based Deep Metric Learning
par: Bhatnagar, Shubhang, et autres
Publié: (2024)

Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model
par: Liu, Chengxu, et autres
Publié: (2025)

FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
par: Zhu, Huilin, et autres
Publié: (2025)

Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning
par: Jiang, Shengqin, et autres
Publié: (2026)

Adapting Segment Anything Model for Unseen Object Instance Segmentation
par: Cao, Rui, et autres
Publié: (2024)