research
∙
08/30/2023
Background Debiased SAR Target Recognition via Causal Interventional Regularizer
Recent studies have utilized deep learning (DL) techniques to automatica...
share
research
∙
08/28/2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
The long-term goal of machine learning is to learn general visual repres...
research
∙
08/07/2023
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Zero-shot skeleton-based action recognition aims to recognize actions of...
research
∙
08/02/2023
Spatio-Temporal Branching for Motion Prediction using Motion Increments
Human motion prediction (HMP) has emerged as a popular research topic du...
research
∙
07/18/2023
Learning to Sample Tasks for Meta Learning
Through experiments on various meta-learning methods, task samplers, and...
research
∙
07/18/2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
In recent years, self-supervised learning (SSL) has emerged as a promisi...
research
∙
07/17/2023
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation
Diffusion models are a powerful class of generative models that can prod...
research
∙
06/28/2023
A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning
Due to limitations in data quality, some essential visual tasks are diff...
research
∙
05/31/2023
A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation
Generative Adversarial Networks (GANs) and their variants have achieved ...
research
∙
03/09/2023
Intriguing Property of GAN for Remote Sensing Image Generation
Generative adversarial networks (GANs) have achieved remarkable progress...
research
∙
01/20/2023
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
Benefiting from the injection of human prior knowledge, graphs, as deriv...
research
∙
09/30/2022
Rethinking skip connection model as a learnable Markov chain
Over past few years afterward the birth of ResNet, skip connection has b...
research
∙
09/16/2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
As a successful approach to self-supervised learning, contrastive learni...
research
∙
09/16/2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity
While self-supervised learning techniques are often used to mining impli...
research
∙
08/26/2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
Few-shot learning models learn representations with limited human annota...
research
∙
08/18/2022
Robust Causal Graph Representation Learning against Confounding Effects
The prevailing graph neural network models have achieved significant pro...
research
∙
06/29/2022
Interventional Contrastive Learning with Meta Semantic Regularizer
Contrastive learning (CL)-based self-supervised learning models learn vi...
research
∙
05/23/2022
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt
Vision-language models are pre-trained by aligning image-text pairs in a...
research
∙
03/10/2022
MetAug: Contrastive Learning via Meta Feature Augmentation
What matters for contrastive learning? We argue that contrastive learnin...
research
∙
03/08/2022
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
Unsupervised domain adaptation (UDA) requires source domain samples with...
research
∙
01/11/2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Recent works explore learning graph representations in a self-supervised...
research
∙
09/06/2021
