Feature Correlation
50 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation
Sophie-Xu/Pose_DomainAdaption
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Therefore, we propose a novel domain adaptation method for multi-person pose estimation to conduct the human-level topological structure alignment and fine-grained feature alignment.
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
finspire13/agsd-surgical-instrument-segmentation
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In the experiments on the binary instrument segmentation task of the 2017 MICCAI EndoVis Robotic Instrument Segmentation Challenge dataset, the proposed method achieves 0. 71 IoU and 0. 81 Dice score without using a single manual annotation, which is promising to show the potential of unsupervised learning for surgical tool segmentation.
Attention Cube Network for Image Restoration
The adaptive spatial attention branch (ASAB) and the adaptive channel attention branch (ACAB) constitute the adaptive dual attention module (ADAM), which can capture the long-range spatial and channel-wise contextual information to expand the receptive field and distinguish different types of information for more effective feature representations.
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
To deal with this, we adapt the desparsified Lasso estimator -- an estimator tailored for high dimensional linear model that asymptotically follows a Gaussian distribution under sparsity and moderate feature correlation assumptions -- to temporal data corrupted with autocorrelated noise.
Learning Medical Image Denoising with Deep Dynamic Residual Attention Network
Image denoising performs a prominent role in medical image analysis.
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection
Herrccc/DR-TANet
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Street scene change detection continues to capture researchers' interests in the computer vision community.
Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
flysnowtiger/GRL
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CVPR 2021
Specifically, we first propose a Global-guided Correlation Estimation (GCE) to generate feature correlation maps of local features and global features, which help to localize the high- and low-correlation regions for identifying the same person.
Hypercorrelation Squeeze for Few-Shot Segmentation
juhongm999/hsnet
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Few-shot semantic segmentation aims at learning to segment a target object from a query image using only a few annotated support images of the target class.
Extreme Rotation Estimation using Dense Correlation Volumes
RuojinCai/ExtremeRotation_code
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CVPR 2021
We present a technique for estimating the relative 3D rotation of an RGB image pair in an extreme setting, where the images have little or no overlap.
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
However, such a supervision is not always available.
