:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Houwang, Liu, Zhuxian, Liu, Guodong, Liu, Xiaolong, Zhan, Shihua
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2409.04867
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning
di: Zhu, Minghao, et al.
Pubblicazione: (2023)

Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer
di: Sun, Guodong, et al.
Pubblicazione: (2024)

Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
di: Gupta, Rohit, et al.
Pubblicazione: (2025)

Network Knowledge Prior Guided Learning for Data-Efficient Surface Defect Detection
di: Dong, Hang-Cheng, et al.
Pubblicazione: (2026)

Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors
di: Luo, Fuwen, et al.
Pubblicazione: (2026)

Boosting Meta-Training with Base Class Information for Few-Shot Learning
di: Jiang, Weihao, et al.
Pubblicazione: (2024)

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
di: Yuan, Shilu, et al.
Pubblicazione: (2024)

Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning
di: Shen, Chengchao, et al.
Pubblicazione: (2024)

Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning
di: Liu, Jiaming, et al.
Pubblicazione: (2024)

Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement
di: Ye, Sheng, et al.
Pubblicazione: (2023)

A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets
di: Doan, Thang, et al.
Pubblicazione: (2024)

Contrastive Learning for Image Complexity Representation
di: Liu, Shipeng, et al.
Pubblicazione: (2024)

Multi-entity Video Transformers for Fine-Grained Video Representation Learning
di: Walmer, Matthew, et al.
Pubblicazione: (2023)

High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch Strategy
di: Liu, Xianjie, et al.
Pubblicazione: (2025)

Neural Prior Estimation: Learning Class Priors from Latent Representations
di: Yavari, Masoud, et al.
Pubblicazione: (2026)

CLICv2: Image Complexity Representation via Content Invariance Contrastive Learning
di: Liu, Shipeng, et al.
Pubblicazione: (2025)

Fine-Grained Class-Conditional Distribution Balancing for Debiased Learning
di: Zhao, Miaoyun, et al.
Pubblicazione: (2025)

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
di: Liu, Yihang, et al.
Pubblicazione: (2025)

Exploration of Class Center for Fine-Grained Visual Classification
di: Yao, Hang, et al.
Pubblicazione: (2024)

Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
di: Bi, Qi, et al.
Pubblicazione: (2024)

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
di: Wang, Menglin, et al.
Pubblicazione: (2025)

Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
di: Ma, Yanbiao, et al.
Pubblicazione: (2024)

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
di: Liu, Yu, et al.
Pubblicazione: (2024)

Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
di: Nahiduzzaman, Md, et al.
Pubblicazione: (2025)

CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation
di: Liu, Shipeng, et al.
Pubblicazione: (2024)

Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter Learning
di: Zhao, Yumiao, et al.
Pubblicazione: (2025)

Constrained Multiview Representation for Self-supervised Contrastive Learning
di: Dai, Siyuan, et al.
Pubblicazione: (2024)

Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
di: Fang, Ziye, et al.
Pubblicazione: (2023)

Fine-Grained Zero-Shot Learning with Attribute-Centric Representations
di: Chen, Zhi, et al.
Pubblicazione: (2025)

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
di: Wu, Gang, et al.
Pubblicazione: (2023)

Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
di: Fan, Lei, et al.
Pubblicazione: (2024)

Efficient RGB-D Scene Understanding via Multi-task Adaptive Learning and Cross-dimensional Feature Guidance
di: Sun, Guodong, et al.
Pubblicazione: (2026)

GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning
di: Yang, Xiao, et al.
Pubblicazione: (2026)

Shallow Deep Learning Can Still Excel in Fine-Grained Few-Shot Learning
di: Qi, Chaofei, et al.
Pubblicazione: (2025)

Cross Modal Fine-Grained Alignment via Granularity-Aware and Region-Uncertain Modeling
di: Liu, Jiale, et al.
Pubblicazione: (2025)

Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning
di: Zhang, Yizhi, et al.
Pubblicazione: (2025)

Learning Visual Generative Priors without Text
di: Ma, Shuailei, et al.
Pubblicazione: (2024)

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition
di: Li, ShuaiHeng, et al.
Pubblicazione: (2024)

Achieving Fine-grained Cross-modal Understanding through Brain-inspired Hierarchical Representation Learning
di: You, Weihang, et al.
Pubblicazione: (2026)

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
di: Zhan, Jiawei, et al.
Pubblicazione: (2024)