Discover val-iisc/s3vaada Open Source project

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Python
License
MIT License
Created about 3 years ago
Updated over 1 year ago

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Submodular Subset Selection for Active Domain Adaptation (ICCV 2021)

lsc-cnn

Python

210

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

Python

146

3d-lmnet

Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]

Python

113

deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Python

111

cnn-fixations

Visualising predictions of deep neural networks

sketch-parse

Code, demos and data for SketchParse (a neural network for sketch segmentation). Paper:

Jupyter Notebook

GD-UAP

Generalized Data-free Universal Adversarial Perturbations

Python

SDAT

[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",

Python

fast-feature-fool

Data independent universal adversarial perturbations

Python

densepcr

Repository for 'Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network' [WACV 2019]

Python

expresso

Python

NoisyTwins

[CVPR 2023] Source code for NoisyTwins: Class-consistent and Diverse Image Generation Through StyleGANs

Python

DeiT-LT

[CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"

Python

pose_estimation

Code for our work on pose-estimation using template 3D models.

Jupyter Notebook

nag

[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation

Python

ss_human_mesh

Code repository for the paper: Appearance Consensus Driven Self-Supervised Human Mesh Recovery

Python

css-ccnn

Implementation for "Completely Self-Supervised Crowd Counting via Distribution Matching" (http://arxiv.org/abs/2009.06420)

Python

Hard-Label-Model-Stealing

Python

3d-psrnet

Repository for 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction [ECCVW 2018]

Python

GAMA-GAT

Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020

Python

Saddle-LongTail

[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"

Python

BPFC

Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes

Python

capnet

Code release for "CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision", (AAAI-19)

Python

StickerDA

[ECCV22] Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation

Python

VL2V-ADiP

[CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification

Python

USFDA

Universal Source-Free Domain Adaptation (CVPR 2020)

NuAT

Towards Efficient and Effective Adversarial Training, NeurIPS 2021

Python

gSRGAN

[ECCV2022] Source Code for "Improving GANs for Long-Tailed Data through Group Spectral Regularization"

Python

DAJAT

Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)

Python

sketch-object-recognition

C++

RMLVQA

Python

class-balancing-gan

Class Balancing GAN with a Classifier In The Loop (UAI 2021)

Python

InheriTune

Code Release for the CVPR 2020 (oral) paper, "Towards Inheritable Models for Open-set Domain Adaptation".

DART

[CVPR-2023] Official Code for DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks

Python

SFDA-Seg

Generalize then Adapt: Source-free Domain Adaptation for Semantic Segmentation (ICCV 2021)

MixupDA

[ICML22] Balancing Discriminability and Transferability for Source-Free Domain Adaptation

Python

OAAT

Official Code for Scaling Adversarial Training to Large Perturbation Bounds (ECCV-2022)

Python

sketchguess

Repository for code, models and datasets for the paper Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing accepted at 36th AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA

Python

FLSS

Official code for the paper - Boosting Adversarial Robustness using Feature Level Stochastic Smoothing

Python

CostSensitiveSelfTraining

[NeurIPS 2022] This repository contains the code for our work CSST: Cost Sensitive Self Training for Optimizing Non-Decomposable Objectives

Python

AAA

Python

SelMix

[ICLR 2024] [Spotlight]Code for our paper SelMix: Selective Mixup FineTuning

Python

EffSSL

Towards Efficient and Effective Self-Supervised Learning of Visual Representations

Python

sketch-object-part-analysis

Code and data related to analysis of object sketches at a semantic part-level

HSR

Code for Hierarchical Semantic Regularization of Latent Spaces in StyleGANs (ECCV 2022)

Python

DLCV

Webpage for DS265: Deep Learning in Computer Vision Course

CSS

gat

Repository for the Gray-box Adversarial Training project presented at ECCV 2018.

Python

swiden

Jupyter Notebook

DSiT-SFDA

[ICCV23] Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation

SAT-Rx

Regularizers for Single-step Adversarial training

Python

val-iisc/s3vaada

val-iisc

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