cccccatv

Adversarial-Attacks-and-Defences

A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the proposed architecture will take place thereby demonstrating the feasibility and security delivered by the algorithm.

automl

Google Brain AutoML

CascadePSP

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

CSPPeleeNet.pytorch

deit

Official DeiT repository

DGPNet

Dense Gaussian Processes for Few-Shot Segmentation

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

frtm-vos

Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation

ghostnet

[CVPR2020] GhostNet: More Features from Cheap Operations

HebbianMetaLearning

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

cccccatv/Adversarial-Attacks-and-Defences

A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the proposed architecture will take place thereby demonstrating the feasibility and security delivered by the algorithm.

cccccatv/automl

Google Brain AutoML

cccccatv/CascadePSP

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

cccccatv/CSPPeleeNet.pytorch

cccccatv/deit

Official DeiT repository

cccccatv/DGPNet

Dense Gaussian Processes for Few-Shot Segmentation

cccccatv/External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

cccccatv/frtm-vos

Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation

cccccatv/ghostnet

[CVPR2020] GhostNet: More Features from Cheap Operations

cccccatv/HebbianMetaLearning

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

cccccatv/Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

cccccatv/jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

cccccatv/LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

cccccatv/mesh

Mesh TensorFlow: Model Parallelism Made Easier

cccccatv/MiniCPM

MiniCPM-2B: An end-side LLM outperforming Llama2-13B.

cccccatv/MixFormer

[CVPR 2022 Oral] MixFormer: End-to-End Tracking with Iterative Mixed Attention

cccccatv/PointNeXt

PyTorch repo for ``PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies'' (NeurIPS 2022)

cccccatv/poolformer

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

cccccatv/pytracking

Visual tracking library based on PyTorch.

cccccatv/RobustDet

The official PyTorch implementation of "Adversarially-Aware Robust Object Detector"

cccccatv/SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

cccccatv/TransT

Transformer Tracking (CVPR2021)

cccccatv/VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

cccccatv/XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

cccccatv/yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite