Search Results for author: Vibashan VS

Found 11 papers, 8 papers with code

Towards Online Domain Adaptive Object Detection

1 code implementation11 Apr 2022 Vibashan VS, Poojan Oza, Vishal M. Patel

To the best of our knowledge, this is the first work to address online and offline adaptation settings for object detection.

Object Detection Representation Learning +1

Target and Task specific Source-Free Domain Adaptive Image Segmentation

1 code implementation29 Mar 2022 Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel

To this end, we propose a two-stage approach for source-free domain adaptive image segmentation: 1) Target-specific adaptation followed by 2) Task-specific adaptation.

Denoising Medical Image Segmentation +2

Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection

1 code implementation29 Mar 2022 Vibashan VS, Poojan Oza, Vishal M. Patel

The Source-Free Domain Adaptation (SFDA) setting aims to alleviate these concerns by adapting a source-trained model for the target domain without requiring access to the source data.

Knowledge Distillation Object Detection +2

On-the-Fly Test-time Adaptation for Medical Image Segmentation

1 code implementation10 Mar 2022 Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel

During test-time, the model takes in just the new test image and generates a domain code to adapt the features of source model according to the test data.

Medical Image Segmentation Semantic Segmentation

ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery

1 code implementation10 Dec 2021 Mobarakol Islam, Vibashan VS, Chwee Ming Lim, Hongliang Ren

We generate the task-aware saliency maps and scanpath of the instruments on the dataset of the MICCAI 2017 robotic instrument segmentation challenge.

Multi-Task Learning Representation Learning +1

Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning

no code implementations7 Oct 2021 Vibashan VS, Domenick Poster, Suya You, Shuowen Hu, Vishal M. Patel

Though thermal cameras are widely used for military applications and increasingly for commercial applications, there is a lack of robust algorithms to robustly exploit the thermal imagery due to the limited availability of labeled thermal data.

Meta-Learning Object Detection +1

Image Fusion Transformer

1 code implementation19 Jul 2021 Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel

Furthermore, we show the effectiveness of the proposed ST fusion strategy with an ablation analysis.

Unsupervised Domain Adaptation of Object Detectors: A Survey

no code implementations27 May 2021 Poojan Oza, Vishwanath A. Sindagi, Vibashan VS, Vishal M. Patel

Recent advances in deep learning have led to the development of accurate and efficient models for various computer vision applications such as classification, segmentation, and detection.

Autonomous Navigation Object Detection +2

Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet

1 code implementation2 Apr 2021 Mobarakol Islam, Vibashan VS, V Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren

For survival prediction, we extract some novel radiomic features based on geometry, location, the shape of the segmented tumor and combine them with clinical information to estimate the survival duration for each patient.

Brain Tumor Segmentation Survival Prediction +1

AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery

1 code implementation10 Mar 2020 Mobarakol Islam, Vibashan VS, Hongliang Ren

Training a real-time robotic system for the detection and segmentation of high-resolution images provides a challenging problem with the limited computational resource.

Multi-Task Learning Scene Understanding

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