Reading List (TO BE CONTINUED)

Runyu's Reading List

Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps [pdf]

A paper about how to use OSM to improve satellite image segmentation.

Winning Solution for the Spacenet Challenge: Joint Learning with OpenStreetMap [link]

The winning solution for the Spacenet Challenge (V2).

Learning to Adapt Structured Output Space for Semantic Segmentation [pdf] [code]

From CVPR 2018. Applying domain adaptation on the outputspace.

Context-Reinforced Semantic Segmentation [pdf] [code]

From CVPR 2019. Combine Segment Net and Context Net.

Object-Contextual Representations for Semantic Segmentation [pdf] [code]

Use context information to improve performance.

---

Xiaohan's Reading List

Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training [pdf]

ECCV 2018

Learning to Adapt Structured Output Space for Semantic Segmentation [pdf]

CVPR 2018

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification [pdf]

CVPR 2019

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation [pdf]

CVPR 2019

---

Song's Reading List

Demystifying Neural Style Transfer [pdf]

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [pdf]

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation [pdf]

DADA: Depth-aware Domain Adaptation in Semantic Segmentation [pdf]

Domain-invariant Learning using Adaptive Filter Decomposition [pdf]

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [pdf]

Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation [pdf]

ICCV 2019 Best Paper nomination