https://github.com/x-plug/mplug
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/x-plug/mplug-owl
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
https://github.com/xanderchf/RGMP
https://github.com/xavierpuigf/virtualhome
https://github.com/xcyan/eccv18_mtvae
Learning to Generate Long-term Future via Hierarchical Prediction
https://github.com/xg416/DATUM
Recurrent Video Restoration Transformer with Guided Deformable Attention
https://github.com/xgd/waifu2xx
https://github.com/xiadanqing/Binary
https://github.com/xiangjieSui/Omnidirectional-Images-as-Moving-Camera-Videos
Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos
https://github.com/xiaogangLi/tensorflow-VTN
Lightweight Network Architecture for Real-Time Action Recognition
https://github.com/xiaoiker/GCN-NAS
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
https://github.com/xiaolonw/TimeCycle
https://github.com/xiaoxiong74/Object-Detection-and-Tracking
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/xibinyue/convlstm-1
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
https://github.com/xih108/Video_Completion
From Here to There: Video Inbetweening Using Direct 3D Convolutions
https://github.com/xilin1991/ClusterNet
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
https://github.com/xincoder/GRIP_Trajectory
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
https://github.com/xinding-sys/StreamMind
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
https://github.com/xinjie-q/ldmic
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
https://github.com/xinntao/BasicSR
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
https://github.com/xinwei666/mmgenerativeir
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/xiongjiechen/ASWD
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/xiuyu0000/new_papers_codes/tree/main/I3D
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/xiuyu0000/new_papers_codes/tree/main/OSVOS
https://github.com/xiuyu0000/new_papers_codes/tree/main/rbpn
https://github.com/xiuyu0000/papers_with_examples/tree/main/reconet
https://github.com/xiuyu0000/vision/blob/main/mindvision/classification/models/vgg.py
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/xiuyu0000/vision/blob/main/mindvision/ms3d/models/pointnet2cls.py
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/xiuyu0000/vision/blob/main/mindvision/msvideo/models/i3d.py
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/xiuyu0000/vision/blob/main/mindvision/msvideo/models/r2plus1d.py
A Closer Look at Spatiotemporal Convolutions for Action Recognition
https://github.com/xiyan524/mm-avs
https://github.com/xjtupanda/ACGNet
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization
https://github.com/xjwxjw/VPEG
https://github.com/xlliu7/BMN-Boundary-Matching-Network
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
https://github.com/xoraus/Super-Resolution-CNN-for-Image-Restoration
https://github.com/xrenaa/Human-Motion-Analysis-with-Deep-Metric-Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.