Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
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Updated
Oct 24, 2022 - Shell
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
Unsupervised Learning for Image Registration
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
OpenMMLab optical flow toolbox and benchmark
Video++, a C++14 high performance video and image processing library.
Fast, accurate and easy to run dense optical flow with python wrapper
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
A project that uses optical flow and machine learning to detect aimhacking in video clips.
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
Depth and Flow for Visual Odometry
Unifying Flow, Stereo and Depth Estimation
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
TOFlow: Video Enhancement with Task-Oriented Flow
SelFlow: Self-Supervised Learning of Optical Flow
(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
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