dipamgoswami

AWT-for-CISS

Official repository for our paper on "Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation" published at WACV 2023.

ADC

Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

Android-App-Development

FACIL

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

FeCAM

Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

FSCIL-Calibration

Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers

Image-Processing-on-Rectangular-Layouts

Image Processing on Rectangular Layouts using Matlab

RNN-using-Tensorflow

Recurrent Neural Networks, Time Series examples and Word2Vec Models

UMID-Urine-Microscopic-Image-Dataset

Urine Microscopic Image Dataset with point and box annotations

Awesome-Incremental-Learning

Awesome Incremental Learning

dipamgoswami/FeCAM

Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

dipamgoswami/ADC

Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

dipamgoswami/UMID-Urine-Microscopic-Image-Dataset

Urine Microscopic Image Dataset with point and box annotations

dipamgoswami/FSCIL-Calibration

Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers

dipamgoswami/FACIL

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

dipamgoswami/Image-Processing-on-Rectangular-Layouts

Image Processing on Rectangular Layouts using Matlab

dipamgoswami/Android-App-Development

dipamgoswami/ASM-Assignment-1

dipamgoswami/ASM_A2

ASM ASSIGNMENT 2 CODE

dipamgoswami/Awesome-Incremental-Learning

Awesome Incremental Learning

dipamgoswami/incremental_learning.pytorch

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

dipamgoswami/AWT-for-CISS

Official repository for our paper on "Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation" published at WACV 2023.

dipamgoswami/Bar-Code-Scanner

dipamgoswami/bbox_prior

Bounding Box Priors for Cell Detection with Point Annotations

dipamgoswami/Big_mart_sales_prediction

Data Analysis on Big mart sales data

dipamgoswami/Breakfast-actions-classification

Video action classification on the Breakfast actions dataset.

dipamgoswami/CVPR2021_PLOP

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

dipamgoswami/eliza

Python implementation of the Eliza chatbot

dipamgoswami/Employee-Register

To maintain a register of employees

dipamgoswami/keras-retinanet

Keras implementation of RetinaNet object detection.

dipamgoswami/LAMDA-PILOT

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

dipamgoswami/monodepth2

Monocular depth estimation from a single image

dipamgoswami/Natural-Language-Processing-in-TensorFlow

Different Applications of Natural Language Processing using TensorFlow

dipamgoswami/PixelLib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

dipamgoswami/PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

dipamgoswami/RecipeBook

A RecipeBook to learn new recipes and shop

dipamgoswami/Slicing-Tree-User-Interface

dipamgoswami/TrainYourOwnYOLO

Train a state-of-the-art yolov3 object detector from scratch!

dipamgoswami/U-Net-for-Biomedical-Image-Segmentation

Implementation of the paper U-Net: Convolutional Networks for Biomedical Image Segmentation

dipamgoswami/Word-Embeddings-with-Sentiment-Classification

Word Embeddings and Sentiment Analysis on Movie Reviews