Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Raft: Recurrent all-pairs field transforms for optical flow
Abstract We introduce Recurrent All-Pairs Field Transforms (RAFT), a new deep network
architecture for optical flow. RAFT extracts per-pixel features, builds multi-scale 4D …
architecture for optical flow. RAFT extracts per-pixel features, builds multi-scale 4D …
Iterative residual refinement for joint optical flow and occlusion estimation
Deep learning approaches to optical flow estimation have seen rapid progress over the
recent years. One common trait of many networks is that they refine an initial flow estimate …
recent years. One common trait of many networks is that they refine an initial flow estimate …
Separable flow: Learning motion cost volumes for optical flow estimation
Full-motion cost volumes play a central role in current state-of-the-art optical flow methods.
However, constructed using simple feature correlations, they lack the ability to encapsulate …
However, constructed using simple feature correlations, they lack the ability to encapsulate …
Sdc-stacked dilated convolution: A unified descriptor network for dense matching tasks
Dense pixel matching is important for many computer vision tasks such as disparity and flow
estimation. We present a robust, unified descriptor network that considers a large context …
estimation. We present a robust, unified descriptor network that considers a large context …
Continual occlusion and optical flow estimation
Two optical flow estimation problems are addressed:(i) occlusion estimation and handling,
and (ii) estimation from image sequences longer than two frames. The proposed …
and (ii) estimation from image sequences longer than two frames. The proposed …
Parallel multiscale context-based edge-preserving optical flow estimation with occlusion detection
Although convolutional neural network (CNN)-based optical flow approaches have exhibited
good performance in terms of computational accuracy and efficiency in recent years, the …
good performance in terms of computational accuracy and efficiency in recent years, the …
Attentive multimodal fusion for optical and scene flow
This letter presents an investigation into the estimation of optical and scene flow using
RGBD information in scenarios where the RGB modality is affected by noise or captured in …
RGBD information in scenarios where the RGB modality is affected by noise or captured in …
SceneFlowFields++: Multi-frame matching, visibility prediction, and robust interpolation for scene flow estimation
State-of-the-art scene flow algorithms pursue the conflicting targets of accuracy, run time,
and robustness. With the successful concept of pixel-wise matching and sparse-to-dense …
and robustness. With the successful concept of pixel-wise matching and sparse-to-dense …
[کتاب][B] Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part II
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed
proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was …
proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was …
Efficient motion feature aggregation for optical flow via locality-sensitive hashing
W Chen, Z Liu, X Wu, Z Liu, Z Li - Neurocomputing, 2025 - Elsevier
Optical flow estimation aims to find the 2D motion field by identifying the corresponding
pixels between two images. With the tremendous progress of deep learning, previous works …
pixels between two images. With the tremendous progress of deep learning, previous works …