Towards Open World Object Detection: A method to identify objects that have not been introduced to it as `unknown’, without any explicit supervision: Github Link
S2M2: Manifold Mixup for Few-shot Learning: A few-shot classification algorithm: Github code
Grad-CAM++: Improvement on Grad-CAM for visual explanations: Github Link.
ACE (Average Causal Effect): Method to compute causal attributions of input variables in a neural network classification model: Github Link
A Little Fog for a Large Turn: Method to generate foggy images for evaluation of autonomous navigation models: Project Website
MASON: A Model AgnoStic ObjectNess Framework: a simple method to detect objects in an image (at a pixel level) with only an image-level classification model: Github Link
Fast Dawid-Skene: A Fast Vote Aggregation Scheme: Github Link
Cap2Vid: Generating Videos from Captions: Github Link
EasyRFP: An Easy to Use Edge Computing Toolkit for Real-Time Field Phenotyping: Github Link
