Search Results for author: Vighnesh Birodkar

Found 14 papers, 7 papers with code

Text and Click inputs for unambiguous open vocabulary instance segmentation

1 code implementation24 Nov 2023 Nikolai Warner, Meera Hahn, Jonathan Huang, Irfan Essa, Vighnesh Birodkar

We propose a new segmentation process, Text + Click segmentation, where a model takes as input an image, a text phrase describing a class to segment, and a single foreground click specifying the instance to segment.

Instance Segmentation Segmentation +1

Proper Reuse of Image Classification Features Improves Object Detection

1 code implementation CVPR 2022 Cristina Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin

A common practice in transfer learning is to initialize the downstream model weights by pre-training on a data-abundant upstream task.

Classification Image Classification +4

The iWildCam 2021 Competition Dataset

no code implementations7 May 2021 Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar

The challenge is to classify species and count individual animals across sequences in the test cameras.

object-detection Object Detection

The surprising impact of mask-head architecture on novel class segmentation

3 code implementations ICCV 2021 Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang

Under this family, we study Mask R-CNN and discover that instead of its default strategy of training the mask-head with a combination of proposals and groundtruth boxes, training the mask-head with only groundtruth boxes dramatically improves its performance on novel classes.

Instance Segmentation Segmentation +1

A Closed-Form Learned Pooling for Deep Classification Networks

no code implementations10 Jun 2019 Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio

This operator can learn a strict super-set of what can be learned by average pooling or convolutions.

Classification Foveation +2

Straight to the point: reinforcement learning for user guidance in ultrasound

no code implementations2 Mar 2019 Fausto Milletari, Vighnesh Birodkar, Michal Sofka

Point of care ultrasound (POCUS) consists in the use of ultrasound imaging in critical or emergency situations to support clinical decisions by healthcare professionals and first responders.

Anatomy reinforcement-learning +1

Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need

no code implementations29 Jan 2019 Vighnesh Birodkar, Hossein Mobahi, Samy Bengio

Large datasets have been crucial to the success of deep learning models in the recent years, which keep performing better as they are trained with more labelled data.

General Classification Image Classification +1

Unsupervised Learning of Disentangled Representations from Video

2 code implementations NeurIPS 2017 Emily Denton, Vighnesh Birodkar

We present a new model DrNET that learns disentangled image representations from video.

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