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pyramidcsa

python

《笨方法学 Python》（Learn Python the Hard Way）学习笔记

pytorch-pensieve

a pytorch implementation of pensieve (https://github.com/hongzimao/pensieve)

pytorch-stn

Spatial Transformer Networks in Pytorch.

qava

The implementation of "QAVA: QoE-aware Adaptive Video Bitrate Aggregation for HTTP Live Streaming based on Smart Edge"

qoe-assesment

The project aims to study the influence of various factors on the subjective assessment of the perception of streaming video. We propose several models for evaluating the VQA models (with and without reference).

qoe-modeling-for-360-degree-videos-dataset

rapique

An official implementation of Rapid and Accurate Video Quality Evaluator (RAPIQUE).

res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

residual-attention-network

Residual Attention Network for Image Classification

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

rirnet

Source codes for "RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment"

rl-afec

RL-AFEC: Adaptive Forward Error Correction for Real-time Video Communication Based on Reinforcement Learning

s-measure_python

Python version S-Measure for Saliency Object Detection

sa-net

Multi-modal learning for light field salient object segmentation

sap-net

Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images (IEEE ICME'2021))

sdm

VQA with Serial Dependence Modeling

sgdnet

ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment

shd360

New dataset and benchmark towards human-centric 360° saliency detection

short-video-streaming-challenge

ACM MULTIMEDIA 2022 Grand Challenge

sionr

soctoolbox

Efficient Toolbox to quickly evaluate SOC/SOD/COD benchmark.

sod-cnns-based-code-summary-

The summary of code and paper for salient object detection with deep learning

sodsurvey

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

softmax-splatting

an implementation of softmax splatting for differentiable forward warping using PyTorch

spherenet-pytorch

sphericaldnns

star

Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

stdn

Code for our Spatiotemporal Dynamic Network

swift

Adaptive Video Streaming with Layered Neural Codecs