manogna-s

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"

Code-for-DODA

CUDA_LTR

Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)

da-fer

Domain Adaptation in Facial Expression Recognition

da-fsl

Domain adaptation and Few shot leaning

pSTarC

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

ROSITA

Official code for the paper "Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation".

ViT_CDFSL

Vision Transformers for Cross domain Few shot learning

manogna-s/ViT_CDFSL

Vision Transformers for Cross domain Few shot learning

manogna-s/pSTarC

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

manogna-s/ROSITA

Official code for the paper "Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation".

manogna-s/AaD_SFDA

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

manogna-s/cdfsl

manogna-s/clip_prs

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

manogna-s/Code-for-DODA

manogna-s/CUDA_LTR

Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)

manogna-s/da-fer

Domain Adaptation in Facial Expression Recognition

manogna-s/da-fsl

Domain adaptation and Few shot leaning

manogna-s/manogna-s.github-old

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

manogna-s/manogna-s.github-old.io

Personal website

manogna-s/manogna-s.github.io

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

manogna-s/meta-dataset

A dataset of datasets for learning to learn from few examples

manogna-s/NegLabel

[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"

manogna-s/NeuralPainting

manogna-s/OWTTT

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

manogna-s/PromptAlign

manogna-s/PyTorch-References

manogna-s/SSA-BNS

manogna-s/test-time-adaptation

A repository and benchmark for online test-time adaptation.

manogna-s/TF_to_Caffe_conversion

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

manogna-s/traffic_rlagent

manogna-s/ViT-MetaDataset

Vision Transformers for Cross-domain few shot learning on Meta-Dataset benchmark