State-Conditioned Adversarial Subgoal Generation

no code implementations • 24 Jan 2022 • Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen

Hierarchical reinforcement learning (HRL) proposes to solve difficult tasks by performing decision-making and control at successively higher levels of temporal abstraction.

Continuous Control Decision Making +3

Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification

no code implementations • 20 Jan 2020 • Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan

Specifically, we design an architecture to encode the multiple spectral contextual information in the form of spectral pyramid of multiple embedding spaces.

Classification General Classification +2

Simultaneously Learning Architectures and Features of Deep Neural Networks

no code implementations • 11 Jun 2019 • Tinghuai Wang, Lixin Fan, Huiling Wang

This paper presents a novel method which simultaneously learns the number of filters and network features repeatedly over multiple epochs.

Audio Classification General Classification +2

Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation

no code implementations • 7 Jun 2016 • Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen

We propose a semi-supervised approach to adapting CNN image recognition model trained from labeled image data to the target domain exploiting both semantic evidence learned from CNN, and the intrinsic structures of video data.

Domain Adaptation Segmentation +5