dipamgoswami
PhD student at Computer Vision Center, Barcelona. Exploring Continual Learning, Federated Learning, LLMs.
Computer Vision CenterBarcelona, Spain
Pinned Repositories
ldc
Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.
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
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
LAMDA-PILOT
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
dipamgoswami's Repositories
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/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/dipamgoswami.github.io
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