Open Compound Domain Adaptation

Ziwei Liu* Zhongqi Miao* Xingang Pan Xiaohang Zhan Dahua Lin Stella X. Yu Boqing Gong

UC Berkeley / ICSIThe Chinese University of Hong Kong Google Inc.

Rainy

TargetSimulation

Source

Rainy

Snowy

Cloudy

Target

Compound Heterogeneous Domains

Simulation

Source

Target

Overcast

Open Unknown Domains

Rainy

Snowy

Cloudy

Compound Heterogeneous Domains

Simulation

Source

Simulation Open World Driving Conditions

Source Compound Targets Open Targets

Simulation Open World Driving Conditions

… …

Cloudy Rainy Overcast

Continuous Adaptation

Source Compound Targets Open Targets

Simulation Open World Driving Conditions

… …

Cloudy Rainy Overcast

Continuous Adaptation

domain memory

DomainDisentanglement

instance-wise curriculum

AdaptiveKnowledge Transfer

C-Digits BenchmarkAbsolute Performance Gain: ~5%

C-Faces BenchmarkAbsolute Performance Gain: ~10%

C-Driving BenchmarkAbsolute Performance Gain: ~2%

C-Mazes BenchmarkAbsolute Performance Gain: ~30%

New TaskOpen Compound Domain Adaptation(OCDA)

New ApproachInstance-wise Curriculum + Domain Memory

New BenchmarksC-Digits, C-Faces, C-Driving, and C-Mazes

Thanks!

Code, models and benchmarks are available at

Project Page: https://liuziwei7.github.io/projects/CompoundDomain.html