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mansy_immersivevideostreaming

Implementation of paper "MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning" and a trace-driven simulator for immsersive (or, omnidirectional, 360-degree) video streaming.

maskrcnn_body

mdtvsfa

Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2020)

meet-deadline-requirements-challenge

ACM MULTIMEDIA 2021 Grand Challenge

merina

Implementation of Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning - N. Kan et al. (ACM MM22)

merina-plus

Implementation of the paper "MERINA+: Improving Generalization for Neural Video Adaptation via Information-Theoretic Meta-Reinforcement Learning" - N. Kan, et. al., 2023

metaiqa

metis

Interpreting Deep Learning-Based Networking Systems

mfnet

source code for ICCV2021 paper "MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection"

mftr

minet

CVPR2020, Multi-scale Interactive Network for Salient Object Detection

mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

motion-guided-attention

Motion Guided Attention for Video Salient Object Detection, ICCV 2019

mqp

multi-pooled-inception-features-for-no-reference-image-quality-assessment

Multi-pooled Inception Features for No-reference image quality assessment

narx_qoe_release

no-reference-video-quality-assessment-based-on-the-temporal-pooling-of-deep-features

nrvqa-nstss

No-Reference Video Quality Assessment Using Natural Spatiotemporal Scene Statistics

ns3-ai

Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!

oavqa

oboe-1

omcnn_2clstm

The model of "DeepVS: A Deep Learning Based Video Saliency Prediction Approach" (ECCV2018

omniattention

This is the GitHub page for the QoMEX 2018 paper: Visual Attention in Omnidirectional Video for Virtual Reality Applications

one-python-craftsman

来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。

openvqa

A lightweight, scalable, and general framework for visual question answering research

p3d

Pseudo-3D Residual Networks

page-net

Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)

panacea

panopticvideo-300

paper-daily-notice

Get the papers you want from ArXiv every weekday.