Pinned Repositories
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's Repositories
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