sihongyang8

sihongyang8

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Decoupled-Contrastive-Learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

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SSCT

[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation

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Shadow_R

This is the official PyTorch implementation of ShadowRefiner. Our method is winner of Perceptual Track and achieves the second-best performance for Fidelity Track in NTIRE 2024 Shadow Removal Challenge (CVPR 2024 Workshop)

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RBN

The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration

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ELAN

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

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DiVANet

PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)

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spa-former

Code for the paper titled "Sparse Self-Attention Transformer for Image Inpainting".

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STNet

Structure and Texture-guided Network for image inpainting

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NDMA_Facial_Inpainting

Nested Deformable Multi-head Attention for Facial Image Inpainting [WACV-23]

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RSHazeNet

Encoder-minimal and Decoder-minimal Framework for Remote Sensing Image Dehazing

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HFIN

Code of paper: Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion

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DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

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ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

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BSRN

Blueprint Separable Residual Network for Efficient Image Super-Resolution

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VapSR

models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"

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LETNet

This repository is an official PyTorch implementation of our paper “LETNet: Lightweight-Real-time-Semantic-Segmentation-Network-with-Efficient-Transformer-and-CNN”.(TITS2023)

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CKGConv

The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)

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Mamba_State_Space_Model_Paper_List

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

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LKDN

Large Kernel Distillation Network for Efficient Single Image Super-Resolution

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Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

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awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

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RMT

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

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UniRepLKNet

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

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GraphFill

GraphFill: Deep Image Inpainting using Graphs

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Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab

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DSCL

AAAI-24 Decoupled Contrastive Learning for Long-Tailed Recognition

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