manogna-s Goto Github PK

aad_sfda

Code for our NeurIPS 2022 paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'

cdfsl

clip_prs

official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"

da-fer

Domain Adaptation in Facial Expression Recognition

da-fsl

Domain adaptation and Few shot leaning

image_super_resolution

manogna-s.github-old

Build a Jekyll blog in minutes, without touching the command line.

manogna-s.github-old.io

Personal website

manogna-s.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

mdd

Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

meta-dataset

A dataset of datasets for learning to learn from few examples

mmsegmentation

neuralpainting

oasis

Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022

owttt

[ICCV 2023 Oral] Official repository for “On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion”

painttransformer

PyTorch implementation of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

promptalign

pstarc

Official code for the paper "pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation"

pytorch-references

sar

Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

shift-continuous_test_time_adaptation

ssa-bns

ssd

SSD model to detect and count number of products in the shelves at a store

stylized-neural-painting

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

term1

Assignments and Homeworks of Term1 PhD

term2

Course resources of 2nd Term (Spring 2021)

test-time-adaptation

A repository and benchmark for online test-time adaptation.

tf_to_caffe_conversion

The provided code lets you convert SqueezDet model from a Tensorflow pb file to Caffemodel file

traffic_rlagent

transfer-learning-library

Transfer Learning Library for Domain Adaptation and Model Adaptation.