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PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
Oindrila Saha, Subhransu Maji
We develop techniques for refining representations for fine-grained classification and segmentation tasks in a self-supervised manner. We find that fine-tuning methods based on ins…
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification
Rangel Daroya, Aaron Sun, Subhransu Maji
We present a set of metrics that utilize vision priors to effectively assess the performance of saliency methods on image classification tasks. To understand behavior in deep learn…
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
Zezhou Cheng, Carlos Esteves, Varun Jampani +3
A critical obstacle preventing NeRF models from being deployed broadly in the wild is their reliance on accurate camera poses. Consequently, there is growing interest in extending…
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
Gustavo Perez, Subhransu Maji, Daniel Sheldon
Many modern applications use computer vision to detect and count objects in massive image collections. However, when the detection task is very difficult or in the presence of doma…