Imagen de Portada

Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ma, Jinge, He, Jiangpeng, Zhu, Fengqing
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
por: He, Jiangpeng, et al.
Publicado: (2024)

Online Class-Incremental Learning For Real-World Food Image Classification
por: Raghavan, Siddeshwar, et al.
Publicado: (2023)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
por: He, Jiangpeng, et al.
Publicado: (2025)

MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds
por: Ma, Jinge, et al.
Publicado: (2024)

Probing Image Compression For Class-Incremental Learning
por: Yang, Justin, et al.
Publicado: (2024)

Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
por: Kolbinger, Fiona R., et al.
Publicado: (2024)

Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images
por: Chen, Yuhao, et al.
Publicado: (2026)

Learning to Classify New Foods Incrementally Via Compressed Exemplars
por: Yang, Justin, et al.
Publicado: (2024)

FMiFood: Multi-modal Contrastive Learning for Food Image Classification
por: Pan, Xinyue, et al.
Publicado: (2024)

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
por: Miao, Wenjun, et al.
Publicado: (2024)

DELTA: Decoupling Long-Tailed Online Continual Learning
por: Raghavan, Siddeshwar, et al.
Publicado: (2024)

EndoCIL: A Class-Incremental Learning Framework for Endoscopic Image Classification
por: Liu, Bingrong, et al.
Publicado: (2025)

MetaFood3D: 3D Food Dataset with Nutrition Values
por: Chen, Yuhao, et al.
Publicado: (2024)

One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning
por: Zhang, Xiaoyan, et al.
Publicado: (2026)

CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
por: Qi, Chao, et al.
Publicado: (2025)

GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning
por: Wang, Tianqi, et al.
Publicado: (2026)

PANDA -- Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
por: Raghavan, Siddeshwar, et al.
Publicado: (2025)

Food Portion Estimation via 3D Object Scaling
por: Vinod, Gautham, et al.
Publicado: (2024)

Food Image Generation on Multi-Noun Categories
por: Pan, Xinyue, et al.
Publicado: (2025)

Size Matters: Reconstructing Real-Scale 3D Models from Monocular Images for Food Portion Estimation
por: Vinod, Gautham, et al.
Publicado: (2026)

Long-Tailed Continual Learning For Visual Food Recognition
por: He, Jiangpeng, et al.
Publicado: (2023)

Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification
por: Xiang, Tuo, et al.
Publicado: (2025)

ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes
por: Zhang, Chenhao, et al.
Publicado: (2025)

EntropyGS: An Efficient Entropy Coding on 3D Gaussian Splatting
por: Huang, Yuning, et al.
Publicado: (2025)

ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
por: Yang, Yi, et al.
Publicado: (2024)

Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
por: Su, Yuanzhi, et al.
Publicado: (2024)

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
por: Fischer, Tom, et al.
Publicado: (2024)

Comprehensive Evaluation of Large Multimodal Models for Nutrition Analysis: A New Benchmark Enriched with Contextual Metadata
por: Coburn, Bruce, et al.
Publicado: (2025)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
por: Ding, Chenhao, et al.
Publicado: (2025)

DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering
por: Luo, Jingzhou, et al.
Publicado: (2025)

Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception
por: Bhowmick, Arka, et al.
Publicado: (2026)

Dual-Imbalance Continual Learning for Real-World Food Recognition
por: Zhang, Xiaoyan, et al.
Publicado: (2026)

Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor
por: Ahmadi, Sahar, et al.
Publicado: (2024)

Confidence-aware agglomeration classification and segmentation of 2D microscopic food crystal images
por: Ji, Xiaoyu, et al.
Publicado: (2025)

Enhancing Robustness in Incremental Learning with Adversarial Training
por: Cho, Seungju, et al.
Publicado: (2023)

CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
por: Li, Jiaxu, et al.
Publicado: (2024)

3D-GSW: 3D Gaussian Splatting for Robust Watermarking
por: Jang, Youngdong, et al.
Publicado: (2024)

Towards Robust 3D Pose Transfer with Adversarial Learning
por: Chen, Haoyu, et al.
Publicado: (2024)

Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregation
por: Le, Vu-Minh, et al.
Publicado: (2025)

Boxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D
por: DeTone, Daniel, et al.
Publicado: (2026)