Cover Image

Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Mingxuan, Roy, Subhankar, Zhong, Zhun, Sebe, Nicu, Ricci, Elisa
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Democratizing Fine-grained Visual Recognition with Large Language Models
by: Liu, Mingxuan, et al.
Published: (2024)

Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery
by: Zheng, Haiyang, et al.
Published: (2024)

Organizing Unstructured Image Collections using Natural Language
by: Liu, Mingxuan, et al.
Published: (2024)

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery
by: Liu, Xiao, et al.
Published: (2025)

Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
by: Zheng, Haiyang, et al.
Published: (2024)

Generalized Fine-Grained Category Discovery with Multi-Granularity Conceptual Experts
by: Zheng, Haiyang, et al.
Published: (2025)

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning
by: De Min, Thomas, et al.
Published: (2024)

LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
by: Aminbeidokhti, Masih, et al.
Published: (2025)

Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization
by: Li, Jinlong, et al.
Published: (2024)

Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
by: Ren, Bin, et al.
Published: (2025)

Superpowering Open-Vocabulary Object Detectors for X-ray Vision
by: Garcia-Fernandez, Pablo, et al.
Published: (2025)

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
by: Zhao, Dong, et al.
Published: (2024)

Open-Vocabulary Domain Generalization in Urban-Scene Segmentation
by: Zhao, Dong, et al.
Published: (2026)

Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning
by: Zheng, Haiyang, et al.
Published: (2025)

CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
by: Xing, Songlong, et al.
Published: (2025)

Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation
by: Lv, Chonghua, et al.
Published: (2026)

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
by: Zhao, Dong, et al.
Published: (2025)

ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models
by: De Min, Thomas, et al.
Published: (2026)

In defense of the two-stage framework for open-set domain adaptive semantic segmentation
by: Ren, Wenqi, et al.
Published: (2026)

Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models
by: Li, Jinlong, et al.
Published: (2026)

Unlearning Personal Data from a Single Image
by: De Min, Thomas, et al.
Published: (2024)

Large Language Models for Multimodal Deformable Image Registration
by: Ma, Mingrui, et al.
Published: (2024)

Incremental Object-Based Novelty Detection with Feedback Loop
by: Caldarella, Simone, et al.
Published: (2023)

Multi-focal Conditioned Latent Diffusion for Person Image Synthesis
by: Liu, Jiaqi, et al.
Published: (2025)

Cues3D: Unleashing the Power of Sole NeRF for Consistent and Unique Instances in Open-Vocabulary 3D Panoptic Segmentation
by: Xue, Feng, et al.
Published: (2025)

Reverse Personalization
by: Kung, Han-Wei, et al.
Published: (2025)

Asymmetric GANs for Image-to-Image Translation
by: Tang, Hao, et al.
Published: (2019)

FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models
by: Singha, Mainak, et al.
Published: (2025)

How (Mis)calibrated is Your Federated CLIP and What To Do About It?
by: Singha, Mainak, et al.
Published: (2025)

LDEPrompt: Layer-importance guided Dual Expandable Prompt Pool for Pre-trained Model-based Class-Incremental Learning
by: Li, Linjie, et al.
Published: (2026)

Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation
by: Tang, Hao, et al.
Published: (2024)

Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
by: Goswami, Dipam, et al.
Published: (2024)

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

RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
by: Song, Yue, et al.
Published: (2023)

Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
by: Li, Linjie, et al.
Published: (2026)

Hallucination Early Detection in Diffusion Models
by: Betti, Federico, et al.
Published: (2026)

Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental Learning
by: Liu, Ruiqi, et al.
Published: (2026)

ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining
by: Ma, Qi, et al.
Published: (2024)

Vision+X: A Survey on Multimodal Learning in the Light of Data
by: Zhu, Ye, et al.
Published: (2022)

Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
by: Li, Jinlong, et al.
Published: (2025)