Search Results for author: Hanbin Zhao

Found 13 papers, 2 papers with code

Epoch-evolving Gaussian Process Guided Learning

1 code implementation25 Jun 2020 Jiabao Cui, XueWei Li, Bin Li, Hanbin Zhao, Bourahla Omar, Xi Li

In this paper, we propose a novel learning scheme called epoch-evolving Gaussian Process Guided Learning (GPGL), which aims at characterizing the correlation information between the batch-level distribution and the global data distribution.

MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning

no code implementations28 Jun 2020 Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li

As a challenging problem, few-shot class-incremental learning (FSCIL) continually learns a sequence of tasks, confronting the dilemma between slow forgetting of old knowledge and fast adaptation to new knowledge.

Few-Shot Class-Incremental Learning Incremental Learning

What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning

no code implementations24 Jul 2020 Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li

As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network.

Neural Architecture Search

Memory Efficient Class-Incremental Learning for Image Classification

no code implementations4 Aug 2020 Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li

To cope with the forgetting problem, many CIL methods transfer the knowledge of old classes by preserving some exemplar samples into the size-constrained memory buffer.

Classification Class Incremental Learning +4

Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning

no code implementations4 Mar 2021 Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li

Unsupervised domain adaptation (UDA) typically carries out knowledge transfer from a label-rich source domain to an unlabeled target domain by adversarial learning.

General Classification Image Classification +2

PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization

no code implementations9 Mar 2021 Xin Qin, Hanbin Zhao, Guangchen Lin, Hao Zeng, Songcen Xu, Xi Li

In this paper, we propose a temporal-position-sensitive context modeling approach to incorporate both positional and semantic information for more precise action localization.

Boundary Detection Position +3

Progressive Class-based Expansion Learning For Image Classification

no code implementations28 Jun 2021 Hui Wang, Hanbin Zhao, Xi Li

In this paper, we propose a novel image process scheme called class-based expansion learning for image classification, which aims at improving the supervision-stimulation frequency for the samples of the confusing classes.

Classification Image Classification

When Video Classification Meets Incremental Classes

no code implementations30 Jun 2021 Hanbin Zhao, Xin Qin, Shihao Su, Yongjian Fu, Zibo Lin, Xi Li

With the rapid development of social media, tremendous videos with new classes are generated daily, which raise an urgent demand for video classification methods that can continuously update new classes while maintaining the knowledge of old videos with limited storage and computing resources.

Classification Class Incremental Learning +3

RBC: Rectifying the Biased Context in Continual Semantic Segmentation

no code implementations16 Mar 2022 Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li

In practice, new images are usually made available in a consecutive manner, leading to a problem called Continual Semantic Segmentation (CSS).

Continual Semantic Segmentation Segmentation +1

Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation

no code implementations28 Sep 2022 Xintian Wu, Hanbin Zhao, Liangli Zheng, Shouhong Ding, Xi Li

Existing methods mainly extract the text information from only one sentence to represent an image and the text representation effects the quality of the generated image well.

Attribute Sentence +1

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework

no code implementations27 Dec 2023 Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

Particle-based Variational Inference (ParVI) methods approximate the target distribution by iteratively evolving finite weighted particle systems.

Position Variational Inference

Neural Sinkhorn Gradient Flow

no code implementations25 Jan 2024 Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian

We utilize the velocity field matching training scheme in NSGF, which only requires samples from the source and target distribution to compute an empirical velocity field approximation.

APISR: Anime Production Inspired Real-World Anime Super-Resolution

1 code implementation3 Mar 2024 Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao

In addition, we identify two anime-specific challenges of distorted and faint hand-drawn lines and unwanted color artifacts.

Super-Resolution

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