Zero-Shot Learning
Generalizing to unseen classes
Top Papers
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Guansong Pang, Yu Tian et al.
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Chongyu Fan, Jiancheng Liu, Yihua Zhang et al.
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Oindrila Saha, Grant Horn, Subhransu Maji
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
Hongjie Wang, Bhishma Dedhia, Niraj Jha
Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval
Yuanmin Tang, Jing Yu, Keke Gai et al.
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Xurui Li, Ziming Huang, Feng Xue et al.
VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting
Seunggu Kang, WonJun Moon, Euiyeon Kim et al.
On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning?
Maxime Zanella, Ismail Ben Ayed
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
Shuai Yang, Yifan Zhou, Ziwei Liu et al.
Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval
Yucheng Suo, Fan Ma, Linchao Zhu et al.
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
Keon Hee Park, Kyungwoo Song, Gyeong-Moon Park
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
Zhen-Xiang Ma, Zhen-Duo Chen, Li-Jun Zhao et al.
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
Zhipeng Du, Miaojing Shi, Jiankang Deng
Does CLIP’s generalization performance mainly stem from high train-test similarity?
Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak et al.
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai, Zongbo Han, Bing Cao et al.
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Irina Rish, Kartik Ahuja, Mohammad Javad Darvishi Bayazi et al.
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang, Xusheng Cao, Haori Lu et al.
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Jiangpeng He
Test-Time Domain Generalization for Face Anti-Spoofing
Qianyu Zhou, Ke-Yue Zhang, Taiping Yao et al.
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
Yajing Liu, Shijun Zhou, Xiyao Liu et al.
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
Wentao Bao, Lichang Chen, Heng Huang et al.
Simple Semantic-Aided Few-Shot Learning
Hai Zhang, Junzhe Xu, Shanlin Jiang et al.
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
wenxin ma, Xu Zhang, Qingsong Yao et al.
Transductive Zero-Shot and Few-Shot CLIP
Ségolène Martin, Yunshi HUANG, Fereshteh Shakeri et al.
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
Spencer Frei, Niladri Chatterji, Peter L. Bartlett
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation
Xiaoyi Bao, Jie Qin, Siyang Sun et al.
Unified Language-driven Zero-shot Domain Adaptation
Senqiao Yang, Zhuotao Tian, Li Jiang et al.
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
Weibo Gao, Qi Liu, Hao Wang et al.
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk, Jimmy Di, Yiwei Lu et al.
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
Xiangyang Zhu, Renrui Zhang, Bowei He et al.
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer, Patrick Podest, Daniel Klotz et al.
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
Ruoxi Shi, Xinyue Wei, Cheng Wang et al.
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection
Ting Lei, Shaofeng Yin, Yuxin Peng et al.
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing
Xinghe Fu, Zhiyuan Yan, Taiping Yao et al.
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
Fushuo Huo, Wenchao Xu, Jingcai Guo et al.
Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha, Ankit Jha, Shirsha Bose et al.
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
Zhen Qu, Xian Tao, Xinyi Gong et al.
On the Provable Advantage of Unsupervised Pretraining
Jiawei Ge, Shange Tang, Jianqing Fan et al.
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
Yixiong Zou, Yicong Liu, Yiman Hu et al.
Online Zero-Shot Classification with CLIP
Qi Qian, JUHUA HU
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
Jing Wang, Jiangyun Li, Chen Chen et al.
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Guan Gui, Bin-Bin Gao, Jun Liu et al.
Large Language Models are Good Prompt Learners for Low-Shot Image Classification
Zhaoheng Zheng, Jingmin Wei, Xuefeng Hu et al.
ZeST: Zero-Shot Material Transfer from a Single Image
Ta-Ying Cheng, Prafull Sharma, Andrew Markham et al.
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
Haomiao Ni, Bernhard Egger, Suhas Lohit et al.
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Marco Mistretta, Alberto Baldrati, Marco Bertini et al.
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
Chao Yi, Lu Ren, De-Chuan Zhan et al.
Zero-Shot Aerial Object Detection with Visual Description Regularization
Chenyu Lin, Zhengqing Zang, Chenwei Tang et al.
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang, William Gilpin
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen et al.
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
Xiaoxiao Sun, Xingjian Leng, Zijian Wang et al.
Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning
Chenyi Jiang, Haofeng Zhang
Grounded Object-Centric Learning
Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro et al.
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open Vocabulary Object Detection
Joonhyun Jeong, Geondo Park, Jayeon Yoo et al.
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
Xiaolei Wang, Xiaoyang Wang, Huihui Bai et al.
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Fenfang Tao, Guo-Sen Xie, Fang Zhao et al.
Semi-supervised Open-World Object Detection
Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer et al.
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation including the Unseen
Hao Zhang, Fang Li, Lu Qi et al.
Probabilistic Language-Image Pre-Training
Sanghyuk Chun, Wonjae Kim, Song Park et al.
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang, Sagar Vaze, Kai Han
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz, Maciej Mazurowski
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin, John Cooper, Frederic Sala
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
Fushuo Huo, Wenchao Xu, Song Guo et al.
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
Zhenghao Pan, Haijin Zeng, Jiezhang Cao et al.
Event Camera Data Dense Pre-training
Yan Yang, Liyuan Pan, Liu liu
MVSAnywhere: Zero-Shot Multi-View Stereo
Sergio Izquierdo, Mohamed Sayed, Michael Firman et al.
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
Zhekai Chen, Wen Wang, Zhen Yang et al.
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth
Zimin Xia, Yujiao Shi, HONGDONG LI et al.
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
Zhengyuan Xie, Haiquan Lu, Jia-wen Xiao et al.
The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models
Naveen George, Karthik Nandan Dasaraju, Rutheesh Reddy Chittepu et al.
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
Rashindrie Perera, Saman Halgamuge
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
Zeliang Zhang, Mingqian Feng, Zhiheng Li et al.
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang et al.
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
Mushui Liu, Fangtai Wu, Bozheng Li et al.
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee, Heeyoung Kim
Understanding prompt engineering may not require rethinking generalization
Victor Akinwande, Yiding Jiang, Dylan Sam et al.
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
Whie Jung, Jaehoon Yoo, Sungjin Ahn et al.
Symmetric Self-Paced Learning for Domain Generalization
Di Zhao, Yun Sing Koh, Gillian Dobbie et al.
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
Yingshan Chang, Yasi Zhang, Zhiyuan Fang et al.
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee, Ryan X Sharp, Rishabh Iyer
ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision
Ke Xu, Tsun Wai Siu, Rynson W.H. Lau
Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning
Hongxu Chen, Quan Zhang, Jian-Huang Lai et al.
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation
Shiqi Huang, Shuting He, Bihan Wen
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi, Gal Vardi, Nathan Srebro
ZIM: Zero-Shot Image Matting for Anything
Beomyoung Kim, Chanyong Shin, Joonhyun Jeong et al.
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context
Shuai Lyu, Rongchen Zhang, Zeqi Ma et al.
Anytime Continual Learning for Open Vocabulary Classification
Zhen Zhu, Yiming Gong, Derek Hoiem
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
Jimin Park, AHyun Ji, Minji Park et al.
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
Yifei Qian, Zhongliang Guo, Bowen Deng et al.
Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
Wojciech Zielonka, Stephan J. Garbin, Alexandros Lattas et al.
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu, Jiang-Tian Zhai, Andrew Bagdanov et al.
On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, YUEMING LYU et al.
SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
Minjun Kim, Jongjin Kim, U Kang
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
Junhao Dong, Piotr Koniusz, Junxi Chen et al.
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
YongJin Yang, Taehyeon Kim, Se-Young Yun
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
Xiaoming Hu, Zilei Wang
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon et al.
Audio-visual Generalized Zero-shot Learning the Easy Way
Shentong Mo, Pedro Morgado