Image de couverture de livre

Long-Tailed Continual Learning For Visual Food Recognition

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	He, Jiangpeng, Zhang, Xiaoyan, Lin, Luotao, Ma, Jack, Eicher-Miller, Heather A., Zhu, Fengqing
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

DELTA: Decoupling Long-Tailed Online Continual Learning
par: Raghavan, Siddeshwar, et autres
Publié: (2024)

Dual-Imbalance Continual Learning for Real-World Food Recognition
par: Zhang, Xiaoyan, et autres
Publié: (2026)

PANDA -- Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
par: Raghavan, Siddeshwar, et autres
Publié: (2025)

FMiFood: Multi-modal Contrastive Learning for Food Image Classification
par: Pan, Xinyue, et autres
Publié: (2024)

Online Class-Incremental Learning For Real-World Food Image Classification
par: Raghavan, Siddeshwar, et autres
Publié: (2023)

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
par: He, Jiangpeng, et autres
Publié: (2024)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
par: He, Jiangpeng, et autres
Publié: (2025)

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor
par: Huang, Yuning, et autres
Publié: (2024)

Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception
par: Ma, Jinge, et autres
Publié: (2025)

Food Image Generation on Multi-Noun Categories
par: Pan, Xinyue, et autres
Publié: (2025)

MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds
par: Ma, Jinge, et autres
Publié: (2024)

Learning to Classify New Foods Incrementally Via Compressed Exemplars
par: Yang, Justin, et autres
Publié: (2024)

Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
par: Kolbinger, Fiona R., et autres
Publié: (2024)

One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning
par: Zhang, Xiaoyan, et autres
Publié: (2026)

Food Portion Estimation via 3D Object Scaling
par: Vinod, Gautham, et autres
Publié: (2024)

Size Matters: Reconstructing Real-Scale 3D Models from Monocular Images for Food Portion Estimation
par: Vinod, Gautham, et autres
Publié: (2026)

Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images
par: Chen, Yuhao, et autres
Publié: (2026)

Probing Image Compression For Class-Incremental Learning
par: Yang, Justin, et autres
Publié: (2024)

NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition
par: Tan, Zichang, et autres
Publié: (2023)

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
par: Li, Mengke, et autres
Publié: (2023)

Decoupled Contrastive Learning for Long-Tailed Recognition
par: Xuan, Shiyu, et autres
Publié: (2024)

On The Relationship Between Continual Learning and Long-Tailed Recognition
par: Molahasani, Mahdiyar, et autres
Publié: (2023)

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
par: Du, Chaoqun, et autres
Publié: (2024)

Comprehensive Evaluation of Large Multimodal Models for Nutrition Analysis: A New Benchmark Enriched with Contextual Metadata
par: Coburn, Bruce, et autres
Publié: (2025)

MetaFood3D: 3D Food Dataset with Nutrition Values
par: Chen, Yuhao, et autres
Publié: (2024)

Aligned Contrastive Loss for Long-Tailed Recognition
par: Ma, Jiali, et autres
Publié: (2025)

Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
par: Li, Mengke, et autres
Publié: (2025)

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
par: Li, Mengke, et autres
Publié: (2024)

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition
par: Zhang, Zaiwei, et autres
Publié: (2024)

Training-Free Text-to-Image Compositional Food Generation via Prompt Grafting
par: Pan, Xinyue, et autres
Publié: (2026)

DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition
par: Gupta, Parul, et autres
Publié: (2024)

Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual Segmentation
par: Raghavan, Siddeshwar, et autres
Publié: (2026)

Normalizing Batch Normalization for Long-Tailed Recognition
par: Bao, Yuxiang, et autres
Publié: (2025)

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
par: Du, Yingjun, et autres
Publié: (2023)

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
par: Li, Mengke, et autres
Publié: (2023)

Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
par: Lan, Yifan, et autres
Publié: (2025)

Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
par: Zhang, Jiahang, et autres
Publié: (2024)

Learning from Imperfect Text Guidance: Robust Long-Tail Visual Recognition with High-Noise Label
par: Li, Mengke, et autres
Publié: (2026)

Food Portion Estimation: From Pixels to Calories
par: Vinod, Gautham, et autres
Publié: (2026)

Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
par: Tang, Wei, et autres
Publié: (2025)