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
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
Unifying Flow, Stereo and Depth Estimation
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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