research
∙
11/15/2022
Explainable Action Advising for Multi-Agent Reinforcement Learning
Action advising is a knowledge transfer technique for reinforcement lear...
share
research
∙
11/09/2021
Convolutional Neural Network Dynamics: A Graph Perspective
The success of neural networks (NNs) in a wide range of applications has...
research
∙
08/04/2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
State-of-the-art semantic segmentation methods require sufficient labele...
research
∙
08/02/2020
Tensor Low-Rank Reconstruction for Semantic Segmentation
Context information plays an indispensable role in the success of semant...
research
∙
12/18/2019
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
We focus on Unsupervised Domain Adaptation (UDA) for the task of semanti...
research
∙
10/18/2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating
Federated Averaging (FedAvg) serves as the fundamental framework in Fede...
research
∙
08/30/2019
Reflective Decoding Network for Image Captioning
State-of-the-art image captioning methods mostly focus on improving visu...
research
∙
06/27/2019
Region Refinement Network for Salient Object Detection
Albeit intensively studied, false prediction and unclear boundaries are ...
research
∙
06/13/2019
2D Attentional Irregular Scene Text Recognizer
Irregular scene text, which has complex layout in 2D space, is challengi...
research
∙
03/15/2018
Facelet-Bank for Fast Portrait Manipulation
Digital face manipulation has become a popular and fascinating way to to...
research
∙
08/14/2017
