Search Results for author: Dipam Goswami

Found 4 papers, 2 papers with code

Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation

no code implementations20 Oct 2023 Damian Sójka, Yuyang Liu, Dipam Goswami, Sebastian Cygert, Bartłomiej Twardowski, Joost Van de Weijer

Each sequence is composed of 401 images and starts with the source domain, then gradually drifts to a different one (changing weather or time of day) until the middle of the sequence.

Continual Learning Semantic Segmentation +1

Bounding Box Priors for Cell Detection with Point Annotations

no code implementations11 Nov 2022 Hari Om Aggrawal, Dipam Goswami, Vinti Agarwal

We use this knowledge as a prior for classifying and detecting cells in images with only a few ground truth bounding box annotations, while most of the cells are annotated with points.

Cell Detection

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

1 code implementation13 Oct 2022 Dipam Goswami, René Schuster, Joost Van de Weijer, Didier Stricker

In class-incremental semantic segmentation (CISS), deep learning architectures suffer from the critical problems of catastrophic forgetting and semantic background shift.

Overlapped 100-10 Overlapped 100-5 +7

Urine Microscopic Image Dataset

1 code implementation19 Nov 2021 Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta, Vinti Agarwal

To alleviate the need for urine datsets, we prepare our urine sediment microscopic image (UMID) dataset comprising of around 3700 cell annotations and 3 categories of cells namely RBC, pus and epithelial cells.

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