:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Feinglass, Joshua, Thiagarajan, Jayaraman J., Anirudh, Rushil, Jayram, T. S., Yang, Yezhou
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	https://arxiv.org/abs/2404.08761
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning
di: Feinglass, Joshua, et al.
Pubblicazione: (2024)

On the Use of Anchoring for Training Vision Models
di: Narayanaswamy, Vivek, et al.
Pubblicazione: (2024)

Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
di: Luo, Yiran, et al.
Pubblicazione: (2024)

Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
di: Choi, Hongjun, et al.
Pubblicazione: (2024)

Zero-Shot Object-Centric Representation Learning
di: Didolkar, Aniket, et al.
Pubblicazione: (2024)

Speeding Up Image Classifiers with Little Companions
di: Liu, Yang, et al.
Pubblicazione: (2024)

PAGER: A Framework for Failure Analysis of Deep Regression Models
di: Thiagarajan, Jayaraman J., et al.
Pubblicazione: (2023)

VistaFlow: Photorealistic Volumetric Reconstruction with Dynamic Resolution Management via Q-Learning
di: Palamadai, Jayram, et al.
Pubblicazione: (2025)

Leveraging Registers in Vision Transformers for Robust Adaptation
di: Yellapragada, Srikar, et al.
Pubblicazione: (2025)

Prototype-Guided Curriculum Learning for Zero-Shot Learning
di: Wang, Lei, et al.
Pubblicazione: (2025)

Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
di: Hou, Wenjin, et al.
Pubblicazione: (2024)

Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
di: Sui, Elaine, et al.
Pubblicazione: (2024)

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
di: Trivedi, Puja, et al.
Pubblicazione: (2024)

Mutually Causal Semantic Distillation Network for Zero-Shot Learning
di: Chen, Shiming, et al.
Pubblicazione: (2026)

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
di: Patel, Maitreya, et al.
Pubblicazione: (2024)

IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning
di: Liao, Wenwen, et al.
Pubblicazione: (2026)

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation
di: Subramanyam, Rakshith, et al.
Pubblicazione: (2024)

Evolutionary Generalized Zero-Shot Learning
di: Chen, Dubing, et al.
Pubblicazione: (2022)

ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions
di: Sampat, Shailaja Keyur, et al.
Pubblicazione: (2024)

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations
di: Patel, Maitreya, et al.
Pubblicazione: (2026)

Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype
di: Qin, Anyong, et al.
Pubblicazione: (2025)

Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
di: Donnelly, Jon, et al.
Pubblicazione: (2025)

GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
di: Chen, Shiming, et al.
Pubblicazione: (2025)

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
di: Patel, Maitreya, et al.
Pubblicazione: (2023)

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
di: Abdollahzadeh, Milad, et al.
Pubblicazione: (2023)

ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning
di: Ye, Zihan, et al.
Pubblicazione: (2024)

Domain-Aware Continual Zero-Shot Learning
di: Yi, Kai, et al.
Pubblicazione: (2021)

ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification
di: Kittler, Florian, et al.
Pubblicazione: (2026)

Image-Caption Encoding for Improving Zero-Shot Generalization
di: Yu, Eric Yang, et al.
Pubblicazione: (2024)

Visual Adaptive Prompting for Compositional Zero-Shot Learning
di: Stein, Kyle, et al.
Pubblicazione: (2025)

EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
di: Kusumba, Abhiram, et al.
Pubblicazione: (2025)

Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance
di: Mei, Ruo-Syuan, et al.
Pubblicazione: (2025)

Decomposed Prototype Learning for Few-Shot Scene Graph Generation
di: Li, Xingchen, et al.
Pubblicazione: (2023)

Tied Prototype Model for Few-Shot Medical Image Segmentation
di: Kim, Hyeongji, et al.
Pubblicazione: (2025)

ZeroFlow: Scalable Scene Flow via Distillation
di: Vedder, Kyle, et al.
Pubblicazione: (2023)

Semantically Guided Dynamic Visual Prototype Refinement for Compositional Zero-Shot Learning
di: Peng, Zhong, et al.
Pubblicazione: (2025)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
di: Yang, Zhengwei, et al.
Pubblicazione: (2024)

Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures
di: Prabhakaran, Anirudh, et al.
Pubblicazione: (2024)

IPNET:Influential Prototypical Networks for Few Shot Learning
di: Chowdhury, Ranjana Roy, et al.
Pubblicazione: (2022)

Zero-Shot Decentralized Federated Learning
di: Masano, Alessio, et al.
Pubblicazione: (2025)