:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shi, Yujun, Zhou, Kuangqi, Liang, Jian, Jiang, Zihang, Feng, Jiashi, Torr, Philip, Bai, Song, Tan, Vincent Y. F.
Format:	Preprint
Published:	2021
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2112.04731
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
by: Shi, Yujun, et al.
Published: (2022)

LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
by: Shi, Yujun, et al.
Published: (2024)

Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
by: Qiu, Zihuan, et al.
Published: (2025)

Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
by: Bai, Tian, et al.
Published: (2025)

Sequential Design for Quantile Estimation in Multifactor Sensitivity Experiments
by: Tian Bai, et al.
Published: (2025)

Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
by: Bai, Liang, et al.
Published: (2024)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
by: Ding, Chenhao, et al.
Published: (2025)

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
by: Pan, Jiachun, et al.
Published: (2023)

Effective Youngs Modulus of Two-Phase Elastic Composites by Repeated Isostrain and Isostress Constructions and Arithmetic-Geometric Mean
by: Yang, Jiashi
Published: (2024)

Sculpting Margin Penalty: Intra-Task Adapter Merging and Classifier Calibration for Few-Shot Class-Incremental Learning
by: Bai, Liang, et al.
Published: (2025)

Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
by: Tian, Shengjing, et al.
Published: (2022)

Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)

Towards Realistic Class-Incremental Learning with Free-Flow Increments
by: Xu, Zhiming, et al.
Published: (2026)

Decorrelation in Complex Wave Scattering
by: Zhang, Qihang, et al.
Published: (2025)

Class Balance Matters to Active Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)

Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
by: Li, Linhao, et al.
Published: (2025)

Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
by: Zhou, Qinhao, et al.
Published: (2024)

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
by: Shi, Yujun, et al.
Published: (2023)

A Phase Synthesizer for Decorrelation to Improve Acoustic Feedback Cancellation
by: Linhard, Klaus, et al.
Published: (2025)

Class-Incremental Few-Shot Event Detection
by: Zhao, Kailin, et al.
Published: (2024)

Obfuscation as Instruction Decorrelation
by: Ajorian, Ali, et al.
Published: (2024)

Covariance-based Space Regularization for Few-shot Class Incremental Learning
by: Hu, Yijie, et al.
Published: (2024)

Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
by: Jiang, Kai, et al.
Published: (2025)

Decorrelated forward regression for high dimensional data analysis
by: Jiang, Xuejun, et al.
Published: (2024)

Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
by: Guo, Juncen, et al.
Published: (2025)

AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
by: Xie, Zhen-Hao, et al.
Published: (2026)

Learning Camera Movement Control from Real-World Drone Videos
by: Hou, Yunzhong, et al.
Published: (2024)

Enhanced Pixel Antenna Design and Optimization Through Dynamic Updating of Initial Structure
by: Fan Jiang, et al.
Published: (2025)

Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)

Is Oracle Pruning the True Oracle?
by: Feng, Sicheng, et al.
Published: (2024)

Study of Class-Incremental Radio Frequency Fingerprint Recognition Without Storing Exemplars
by: Jiang, Rundong, et al.
Published: (2026)

Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
by: Jiao, Jian, et al.
Published: (2024)

Decorrelation using Optimal Transport
by: Algren, Malte, et al.
Published: (2023)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
by: Bai, Yang, et al.
Published: (2026)

Balancing the Causal Effects in Class-Incremental Learning
by: Zheng, Junhao, et al.
Published: (2024)

Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
by: Wen, Zhen-Hao, et al.
Published: (2025)

Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023)

An Efficient Replay for Class-Incremental Learning with Pre-trained Models
by: Yin, Weimin, et al.
Published: (2024)

Dynamic Feature Learning and Matching for Class-Incremental Learning
by: Qiang, Sunyuan, et al.
Published: (2024)

Discretely structured magnetic flux concentrators
by: Shi, Yujun, et al.
Published: (2025)