Indian Institute of Technology Delhi

International Institute of Information Technology, Hyderabad

Indian Institute of Technology Hyderabad

Vaishnavi Mohan Khindkar

C V Jawahar

Chetan Arora

Rohit Saluja

Vineeth N Balasubramanian

A method for detecting object in an image in a target environment that is adapted to a source environment using a machine learning model is provided. The method includes (i) extracting features from source image associated with source environment and target image associated with target environment, (ii) generating a feature map based on the features, (iii) generating a pixel-wise probability output map (iv) determining a first environment invariant feature map by combining the feature map with the pixel-wise probability output map, (v) determining a second environment invariant feature map by combining the first environment invariant feature map and the features, (vi) generating environment invariant feature maps at different instances, (vii) extracting environment invariant features based on the environment invariant feature maps, (viii) detecting the object in the image in the target environment that is adapted to the source environment by training the machine learning model using the environment invariant features.

Growing community of inventors

Hyderabad Telangana, India

Vaishnavi Mohan Khindkar