liuguoyou Goto Github PK

sa-autoaug

Scale-aware Automatic Augmentation for Object Detection (CVPR 2021)

sa-ssd

sacd

Source code of SACD(Super-resolution with Auto-Correlation two-step Deconvolution)

sadnet

Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"

sadrnet

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

safa

Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

safa-1

Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

safiltering

Matlab implementation of "Scale-aware Structure-Preserving Texture Filtering"

sagan_bmvc21

This is the official implementation of SAGAN from BMVC21

saic_depth_completion

Official implementation of "Decoder Modulation for Indoor Depth Completion" https://arxiv.org/abs/2005.08607

saliency-guided-image-enhancement

S. Ghosh, R. G. Gavaskar, and K. N. Chaudhury, “Saliency guided image detail enhancement,” Proc. National Conference on Communications (NCC), Bangalore, India, 2019.

saliencymdc

salt_iccv2017

SALT (iccv2017) based Video Denoising Codes, Matlab implementation with state-of-the-art performance

samesame

An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization(https://arxiv.org/pdf/1902.01917.pdf) ---ICML2019

sampling-free

Is sampling heuristics necessary in training deep object detectors? Try this sampling-free object detectors! See our technical report :)

samurai

san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

saq

This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".

sarpn

Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019

sber-swap

sbnet

Sparse Blocks Networks

sbnn

Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)

scale-adaptive-network

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

scale-adjusted-training

PyTorch implementation of Towards Efficient Training for Neural Network Quantization

scalpel

This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100 and LeNet-5 is included.

scenesegmentation-scrl

Code for CVPR 2022 paper "Scene Consistency Representation Learning for Video Scene Segmentation"

scn

scr-face-alignment

scratchdet

The code and models for paper: "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch"

script_for_wq