Picture for Song Bai

Song Bai

Alibaba Group, University of Oxford

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training

Add code
Oct 21, 2020
Figure 1 for Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Figure 2 for Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Figure 3 for Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Figure 4 for Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Viaarxiv icon

Dual Attention GANs for Semantic Image Synthesis

Add code
Aug 29, 2020
Figure 1 for Dual Attention GANs for Semantic Image Synthesis
Figure 2 for Dual Attention GANs for Semantic Image Synthesis
Figure 3 for Dual Attention GANs for Semantic Image Synthesis
Figure 4 for Dual Attention GANs for Semantic Image Synthesis
Viaarxiv icon

Bipartite Graph Reasoning GANs for Person Image Generation

Add code
Aug 20, 2020
Figure 1 for Bipartite Graph Reasoning GANs for Person Image Generation
Figure 2 for Bipartite Graph Reasoning GANs for Person Image Generation
Figure 3 for Bipartite Graph Reasoning GANs for Person Image Generation
Figure 4 for Bipartite Graph Reasoning GANs for Person Image Generation
Viaarxiv icon

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving

Add code
Aug 11, 2020
Figure 1 for Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Figure 2 for Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Figure 3 for Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Figure 4 for Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Viaarxiv icon

Corner Proposal Network for Anchor-free, Two-stage Object Detection

Add code
Jul 27, 2020
Figure 1 for Corner Proposal Network for Anchor-free, Two-stage Object Detection
Figure 2 for Corner Proposal Network for Anchor-free, Two-stage Object Detection
Figure 3 for Corner Proposal Network for Anchor-free, Two-stage Object Detection
Figure 4 for Corner Proposal Network for Anchor-free, Two-stage Object Detection
Viaarxiv icon

FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition

Add code
Jul 22, 2020
Figure 1 for FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
Figure 2 for FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
Figure 3 for FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
Figure 4 for FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
Viaarxiv icon

XingGAN for Person Image Generation

Add code
Jul 17, 2020
Figure 1 for XingGAN for Person Image Generation
Figure 2 for XingGAN for Person Image Generation
Figure 3 for XingGAN for Person Image Generation
Figure 4 for XingGAN for Person Image Generation
Viaarxiv icon

Neural Architecture Search for Lightweight Non-Local Networks

Add code
Apr 04, 2020
Figure 1 for Neural Architecture Search for Lightweight Non-Local Networks
Figure 2 for Neural Architecture Search for Lightweight Non-Local Networks
Figure 3 for Neural Architecture Search for Lightweight Non-Local Networks
Figure 4 for Neural Architecture Search for Lightweight Non-Local Networks
Viaarxiv icon

Holistically-Attracted Wireframe Parsing

Add code
Mar 03, 2020
Figure 1 for Holistically-Attracted Wireframe Parsing
Figure 2 for Holistically-Attracted Wireframe Parsing
Figure 3 for Holistically-Attracted Wireframe Parsing
Figure 4 for Holistically-Attracted Wireframe Parsing
Viaarxiv icon

AutoScale: Learning to Scale for Crowd Counting

Add code
Dec 20, 2019
Figure 1 for AutoScale: Learning to Scale for Crowd Counting
Figure 2 for AutoScale: Learning to Scale for Crowd Counting
Figure 3 for AutoScale: Learning to Scale for Crowd Counting
Figure 4 for AutoScale: Learning to Scale for Crowd Counting
Viaarxiv icon