shashankskagnihotri

cospgd

The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.

adv_mmsegmentation

NAFNet

The state-of-the-art image restoration model without nonlinear activation functions.

pruneshift-public

adv-corrected-ddcat-cospgd

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

al-folio

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

augmix-refactored

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

plots

making plots for CIFAR and ImageNet

cifar-efficientnet

ddpm-segmentation

Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

DeepLabV3Plus-Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

DROID-SLAM

flc_pooling

Code for FrequencyLowCut Pooling (FLC pooling)

Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

github-readme-stats

:zap: Dynamically generated stats for your github readmes

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

PCFA

[ECCV 2022 Oral] Source code for "A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow"

ptlflow

PyTorch Lightning Optical Flow models, scripts, and pretrained weights.

RepLKNet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

Restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

rickstaa

My personal readme.md

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

semseg

Semantic Segmentation in Pytorch

shashankskagnihotri

shashankskagnihotri.github.io

Github Page for Shashank Agnihotri

SLaK

"More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity", Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

stereo-transformer

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

understanding_flow_robustness

Official repository for "Towards Understanding Adversarial Robustness of Optical Flow Networks" (CVPR 2022)

zcp_eval

Code for "An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness"