Generalized Category Discovery

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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Test-Time Generalized Category Discovery
Sep 27, 2026Shambhavi Mishra, Omprakash Chakraborty, Julio Silva-Rodriguez +3Generalized Category Discovery Vision-Language Model Adaptation
ÉTS Montréal, Canada
CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
Sep 9, 2026Luyao Tang, Jiewei Zheng, Kunze Huang +3Generalized Category Discovery Compositional Generalization
The University of Hong Kong, Hong Kong SAR, China · Xiamen University, Xiamen, China · Shenzhen University, Shenzhen, China.
Fourier Self-Supervision for Fine-Grained Generalized Category Discovery
Aug 9, 2026Sarah Rastegar, Mina Ghadimi Atigh, Pascal Mettes +2Generalized Category Discovery Fine-Grained Perception
University of Amsterdam · University of Technology Nuremberg
MedXplore: Towards Reliable and Unbiased Generalized Category Discovery in Medical Imaging
Jul 30, 2026Jianwei He, Kailin Lyu, Junhao Dong +6Medical Image Classification Medical Imaging
Institute of Automation, Chinese Academy of Sciences Beijing, China · Nanyang Technological University Singapore, Singapore
OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation
Jul 29, 2026Kaiyu Li, Zepeng Xin, Zixuan Jiang +4Trustworthy Earth Observation Decisions Generalized Category Discovery
Xi’an Jiaotong University
DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery
Jul 15, 2026Peiyan Gu, Zixin Teng, Xuming HeGeneralized Category Discovery Classifier
ShanghaiTech University, Shanghai, China · Shanghai Engineering Research Center of Intelligent Vision and Imaging
Bridging the Catalog-to-Real Gap: Scalable Product Recognition via Multi-Stage Contrastive Learning
Jul 10, 2026Anyi Zhang, Joy Mazumder, Kiril LomakinGeneralized Category Discovery Contrastive Learning
Walmart Global Tech Sunnyvale, CA, USA
Virtual Category-Guided Continual Generalized Category Discovery
Jul 6, 2026Jiahui Xiong, Qiuxia Lai, Hongsong WangGeneralized Category Discovery Image Classification
School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China
Hierarchical Scaffolding Enables Human-Like Cognitive Selectivity under Data Scarcity
Jul 6, 2026Juhyoung Park, Jaehyuk Bae, Hyeonbo Yang +1Generalized Category Discovery Fine-Grained Perception
School of Computing 2Department of Brain and Cognitive Sciences Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea · Department of Brain and Cognitive Sciences Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
Explainable Novel Category Discovery in Semantic Concept Space
Jul 5, 2026Ifrat Ikhtear Uddin, Yang Zhou, KC Santosh +1Generalized Category Discovery Model Discovery
Department of Computer Science, University of South Dakota, USA · Department of Computer Science and Software Engineering, Auburn University, USA
Identifying Latent Concepts and Structures for Generalized Category Discovery
Jul 1, 2026Boyang Dai, Chaoqi Chen, Yizhou YuGeneralized Category Discovery Discovery
1The University of Hong Kong · 2Shenzhen University
Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery
Jun 19, 2026Yuxun Qu, Minyu Zhou, Yongqiang Tang +2Generalized Category Discovery Cross-Modal
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 101408, China
Unveiling the Unknown: Open Vocabulary Object Detection with Scene Graphs
Jun 4, 2026Yi Chen, Yinghao Lu, Zhehao Li +4Open-Vocabulary Object Detection Generalized Category Discovery
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China · Faculty of Computing, Georg-August-Universität Göttingen, Germany · School of Software Technology, Zhejiang University, Ningbo 315000, China +1
Characterizing the visual representation of objects from the child's view
May 14, 2026Jane Yang, Tarun Sepuri, Alvin Wei Ming Tan +3Generalized Category Discovery Visual Representations
Department of Psychology, University of California San Diego · Department of Psychology, Stanford University · Department of Computer Science, Stanford University
Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
May 11, 2026Shijie Wang, Yadan Luo, Zijian Wang +2Fine-Grained Perception Generalized Category Discovery
The University of Queensland, Australia · The University of Adelaide, Australia
Relational Retrieval: Leveraging Known-Novel Interactions for Generalized Category Discovery
May 10, 2026Yulin Xu, Chunqi Guo, Yuanzhen Shuai +1Generalized Category Discovery Multimodal Domain Generalization
University College London London, UK · Juniata College Huntingdon, USA
Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness
May 6, 2026Yichen Li, Qiankun Liu, Ying FuGeneralized Category Discovery Object Detection
Department of Computer Science Beijing Institute of Technology · University of Science and Technology Beijing
Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery
May 5, 2026Bo Ye, Kai Gan, Tong Wei +1Generalized Category Discovery Pretraining
School of Computer Science and Engineering, Southeast University, Nanjing 210096, China, and the Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China.
Generalized Category Discovery in Federated Graph Learning
May 5, 2026Zhongzheng Yuan, Lianshuai Guo, Xunkai Li +2Federated Graph Learning Graph Representation Learning
Shandong University, School of Airspace Science and Engineering, Weihai 264209, China · Beijing Institute of Technology, School of Computer Science and Technology, Beijing 100081, China
Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models
Apr 29, 2026Hongjun Wang, Po Hu, Kai HanGeneralized Category Discovery Vision-Language Model Adaptation
School of Computing and Data Science, The University of Hong Kong
Unlocking Optical Prior: Spectrum-Guided Knowledge Transfer for SAR Generalized Category Discovery
Apr 24, 2026Jingyuan Xia, Ruikang Hu, Ye Li +3Synthetic Aperture Radar Domain Adaptation
College of Electronic Science and Technology, National University of Defense Technology, Changsha, 410073, China · State Key Laboratory of Complex System Simulation and Modeling Technology, Beijing, 100091, China
OmniGCD: Abstracting Generalized Category Discovery for Modality Agnosticism
Apr 16, 2026Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh +2Generalized Category Discovery Modality-Specific Encoders
SAIVT, QUT, Australia · Shield AI, Australia · La Trobe University, Australia
SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
Feb 19, 2026Lorenzo Caselli, Marco Mistretta, Simone Magistri +1Generalized Category Discovery Cross-Modal
University of Florence, Media Integration and Communication Center (MICC), Italy

Sep 27, 2026, cs.CVJ/K move · Enter open · S save

Test-Time Generalized Category Discovery

Shambhavi Mishra, Omprakash Chakraborty, Julio Silva-Rodriguez, Ismail Ben Ayed+2

ÉTS Montréal, Canada

Generalized Category Discovery Vision-Language Model Adaptation Test-Time Adaptation Discovery

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Test-Time Adaptation (TTA) and Generalized Category Discovery (GCD) are traditionally treated as disjoint problems: the former adapts models to domain shift assuming all test classes are known, while the latter discovers novel categories assuming labeled training data for known classes. However, real-world deployment rarely fits either setting. Motivated by this gap, we introduce Test-Time Generalized Category Discovery (TT-GCD), a unified and more realistic scenario where a vision-language model must adapt to distribution shifts, classify known categories using only textual supervision, and discover novel categories, all during test time and without access to labeled data. To address this challenging scenario, we propose PACT (Prototype Assignment for Category discovery at Test time), a fully unsupervised framework that casts known-class recognition and novel-class discovery via prototype assignment. PACT first re-aligns shifted visual features with the text-derived class representations of the VLM using confident zero-shot predictions. Known and novel categories are then both represented by prototypes in the visual embedding space, estimated from the unlabeled test stream, and each test image is assigned to the category whose prototype is most similar to its visual feature. Extensive experiments across corruption and domain-shift benchmarks demonstrate that PACT outperforms adapted state-of-the-art TTA and GCD methods, effectively bridging the gap between adaptation and discovery.

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