Cover Image

A Simple and Efficient Baseline for Zero-Shot Generative Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Zipeng, Liu, Buhua, Zhang, Shiyan, Li, Bao, Xu, Zhiqiang, Xiong, Haoyi, Xie, Zeke
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization
by: Qi, Zipeng, et al.
Published: (2024)

Alignment of Diffusion Models: Fundamentals, Challenges, and Future
by: Liu, Buhua, et al.
Published: (2024)

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
by: Bai, Lichen, et al.
Published: (2024)

Neural Field Classifiers via Target Encoding and Classification Loss
by: Yang, Xindi, et al.
Published: (2024)

Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis
by: Qi, Zipeng, et al.
Published: (2023)

Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
by: Han, Yue, et al.
Published: (2023)

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
by: Shao, Shitong, et al.
Published: (2024)

MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification
by: Qu, Xiangyan, et al.
Published: (2025)

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
by: Liu, Han, et al.
Published: (2024)

Will It Zero-Shot?: Predicting Zero-Shot Classification Performance For Arbitrary Queries
by: Robbins, Kevin, et al.
Published: (2026)

SimBase: A Simple Baseline for Temporal Video Grounding
by: Bao, Peijun, et al.
Published: (2024)

LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation
by: Li, Jiachen, et al.
Published: (2025)

Online Zero-Shot Classification with CLIP
by: Qian, Qi, et al.
Published: (2024)

FIND: A Simple yet Effective Baseline for Diffusion-Generated Image Detection
by: Li, Jie, et al.
Published: (2026)

A Simple Baseline for Efficient Hand Mesh Reconstruction
by: Zhou, Zhishan, et al.
Published: (2024)

SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution
by: Xie, Liangbin, et al.
Published: (2025)

Scaling Zero-Shot Reference-to-Video Generation
by: Zhou, Zijian, et al.
Published: (2025)

Reflective Flow Sampling Enhancement
by: Zhou, Zikai, et al.
Published: (2026)

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
by: Shao, Shitong, et al.
Published: (2024)

FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters
by: Shao, Shitong, et al.
Published: (2026)

Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
by: Zhang, Zhaoxiang, et al.
Published: (2024)

Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection
by: Zhang, Mingjin, et al.
Published: (2024)

PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
by: Li, Haopeng, et al.
Published: (2026)

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation
by: Wu, Size, et al.
Published: (2025)

A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
by: Stegmüller, Thomas, et al.
Published: (2024)

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM
by: Kamboj, Payal, et al.
Published: (2025)

FlashVGGT: Efficient and Scalable Visual Geometry Transformers with Compressed Descriptor Attention
by: Wang, Zipeng, et al.
Published: (2025)

Data-Free Generalized Zero-Shot Learning
by: Tang, Bowen, et al.
Published: (2024)

CrowdMoGen: Zero-Shot Text-Driven Collective Motion Generation
by: Cao, Yukang, et al.
Published: (2024)

A Simple-but-effective Baseline for Training-free Class-Agnostic Counting
by: Lin, Yuhao, et al.
Published: (2024)

A Simple and Better Baseline for Visual Grounding
by: Wang, Jingchao, et al.
Published: (2025)

Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
by: Jiang, Huajie, et al.
Published: (2025)

Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
by: Wang, Zeyu, et al.
Published: (2024)

SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models
by: Hu, Zhanxuan, et al.
Published: (2025)

Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras
by: Zhang, Ruijun, et al.
Published: (2026)

Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
by: Deng, Hanqiu, et al.
Published: (2023)

Simple Semantic-Aided Few-Shot Learning
by: Zhang, Hai, et al.
Published: (2023)

A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation
by: Marsal, Rémi, et al.
Published: (2024)

MedVLThinker: Simple Baselines for Multimodal Medical Reasoning
by: Huang, Xiaoke, et al.
Published: (2025)

Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
by: Li, Rongjie, et al.
Published: (2024)